CRO @ Redfish Technology || Providing Disruptive Tech Companies w/ Talent || 24k Followers || Forbes Next 1000 || Girl Mom

Forbes 2021 - Next 1000 Honoree


Chief Revenue Officer at Redfish Technology, where I lead with empathy, strategic insight, and a commitment to building strong relationships. 

As Viola Davis once said, "My dreams are bigger than my fears."

Our Work

Helped a new VP of Sales at an Enterprise AI Client hire the first 3 members of his Sales Team: Our team consulted with the VP to identify the profiles he needed, researched and built a list of target companies to source from, then reached out nationwide to over 350 AEs in our network, interviewed/screened over 70, submitted 30 to the VP for review, and he hired 3 - saving 100’s of man-hours in the process.

We've built out and engineering teams with the top 30 startups across the country.

Placed Director of Growth at a Fintech Startup: After hiring the Director of Growth, we were asked if we could help with two PM roles, they were struggling with filling. We did so in about 5 weeks for both a Platform PM and Mobile PM. This led to an introduction to their Design team, where we have helped them hire 3 Sr. Product Designers.

Leah Scarnegi

Wrapping up 2025 at Redfish Technology 

This year was about prioritizing focus over volume—and building real partnerships, not transactions.

- Strong YoY growth
- Higher acceptance rates + repeat clients
- Faster time-to-fill on more complex, senior roles

But what mattered most?
 
Doing the work the right way—better discovery, tighter alignment, and a truly human approach to hiring.

Grateful for the clients who trusted us, the candidates who partnered with us, and the team that showed up every day.

Onward!


#2025InReview #RecruitingDoneRight #TechHiring #HumanCenteredHiring #RedfishTechnology

Leah Scarnegi 

CRO @ Redfish || Scaling Startups with the Right People || Blaine County Board of Education || Forbes 2021 - Next 1000 Honoree

Redfish’s real differentiator isn’t speed — it’s judgement.

The data backs it up:

• Discovery excellence shows up again and again as a leading indicator of successful outcomes.
• Clients respond to market insight, not just resumes in their inbox.
• Our content, workshops, and POV compound trust long before a search even kicks off.

In a market obsessed with velocity, judgement is what actually scales.

#redfishtechnology #recruiting #hiring

If you’re hiring PMs, ask yourself:

Do candidates have examples of things that didn’t work — and what they changed after?

Can they explain impact in metrics, not just features?

.......And if you’re a PM interviewing right now:

Your job isn’t to be impressive. It’s to be credible.

The best PMs don’t pitch perfection. They show judgment.

#productmanagement #product #hiring #interviewing

Dr Emmanuel Ogungbemi

Head of Data Engineering | I help you improve your productivity with data and AI

From being a data analyst to leading the development of data pipelines, my journey in data engineering and analytics has been both challenging and rewarding.

When I began my career in data, I faced the daunting task of turning vast amounts of raw data into actionable insights.

The problem? Many organisations struggle with fragmented data and inefficient processes.

Here's how I tackled these challenges and built a successful career in data:

1. Crafted Data Solutions: Designed and implemented a Common Data Platform, ensuring seamless data integration and access.
2. Led Innovative Projects: At NATS, I contributed to the world's first AI system for air traffic control, utilising digital twinning and machine learning.
3. Developed Future Talent: Shaped data science and engineering education at Multiverse by developing comprehensive curricula for degree-level apprenticeships.
4. Consulted on High-Impact Projects: Provided AI and data science consultancy for industry giants like BP, Sword and Chaucer (now BIP UK), driving data-driven decision-making and innovation.

Now, I'd like to talk about you.

Are you aspiring to become a successful data analyst/data scientist/data engineer but need help figuring out where to start?

Here's a roadmap to guide you:

1. Master the Fundamentals:
- Learn key programming languages like Python and SQL.
- Understand data structures, algorithms, and database management.

2. Gain Practical Experience:
- Work on real-world projects to apply your skills.
- Use tools like Power BI and Tableau for data visualisation.

3. Join the Community:
- Participate in data science forums and attend industry events.
- Network with professionals to exchange knowledge and opportunities.

4. Continuous Learning:
- Stay updated with the latest trends and technologies in data analytics.
- Take advanced courses to deepen your expertise.

To help you get started, I've created a comprehensive Data Analyst Roadmap that outlines the essential steps and resources you need to succeed.

Join my email list to register your interest in my free Data Analyst Roadmap.

You have the potential to excel in the data industry, and I'm here to support your journey.

Let's connect and share our experiences in data engineering and analytics!

Head of Data Engineering

The Value of Expertise IS NOT in the Hours You See.

It’s in the years behind them…

When you pay for a few hours of work,
you’re not paying for just that time.

You’re paying for:
➟ Years of dedication to mastering their field.
➟ Countless hours perfecting their skills.
➟ A lifetime of hard-earned experience and knowledge.

Let me break it down for you:

1/ When you hire a Data Engineer.
You’re really paying for:
↳ Years spent understanding complex data systems.
↳ Thousands of hours building and optimizing data pipelines.
↳ The ability to deliver data-driven solutions in minutes, based on years of experience.

2/ When you work with a Data Scientist.
You’re really paying for:
↳ Years of mastering machine learning models.
↳ Countless hours spent analyzing data and making predictions.
↳ The skill to solve critical business problems in minutes, built on deep analytical expertise.

3/ When you consult with a Data Analyst.
You’re really paying for:
↳ Years spent turning raw data into actionable insights.
↳ Countless hours of data crunching to provide accurate reports.
↳ The ability to deliver business-transforming insights in a short time, thanks to years of analysis.

It’s NOT about how quickly they work.
It’s about how long it took to become THIS good.

Anyone can offer hours.
Only an expert can turn them into transformative results.

________________________________________

♻️ Repost if you agree.
📌 Follow Emmanuel Ogungbemi for more data-driven insights.

li_at

JSESSIONID

Talks about #data, #kindness, #interviewtips, #selfimprovement, and #careertransition

I help you break into data science and AI with practical tips, real-world insights, and the latest trends.

The Value of Data Analytics Skills is NOT in the Tools You See.
It’s in the years behind them…

When you use a data analytics tool,
you’re not just using a feature set.

You’re leveraging:
➟ Years of development and refinement.
➟ Countless hours mastering the techniques.
➟ A lifetime of hard-earned lessons & experience.

Let me show you:

1/ When you use SQL.
You’re really leveraging:
↳ Decades of optimizing databases for fast, reliable querying.
↳ Thousands of hours spent refining data structures and queries.
↳ The ability to extract insights in minutes, built on years of data management.

2/ When you use Excel or Google Sheets.
You’re really leveraging:
↳ Years of spreadsheet functionality designed to simplify data analysis.
↳ Countless hours automating reports and generating insights.
↳ The capability to analyze data instantly, thanks to years of fine-tuning the tools.

3/ When you use Python or R.
You’re really leveraging:
↳ Years of statistical programming advances.
↳ Thousands of libraries and algorithms designed for efficient data analysis.
↳ The power to run machine learning models in seconds, built on years of coding expertise.

4/ When you use Tableau or Power BI.
You’re really leveraging:
↳ Years of developing cutting-edge visualization tools to present complex data.
↳ Thousands of hours mastering the art of turning raw data into interactive dashboards.
↳ The ability to communicate insights instantly, backed by years of visualization refinement.

It’s NOT about how fast these tools deliver results.
It’s about how long it took to make them THIS powerful.

Anyone can use tools.
Only an expert can turn them into game-changing insights.

♻️ Repost if you agree.
📌 And follow Emmanuel Ogungbemi for more data analytics insights.

I am excited to share an essential resource: SQL Interview Questions!

This comprehensive guide is perfect for anyone preparing for SQL interviews. 

It covers a wide range of topics, from fundamental concepts to advanced techniques, helping you to confidently answer questions and showcase your SQL knowledge.

Key topics include:
- Understanding SQL and its uses
- DBMS vs. RDBMS
- SQL constraints and their importance
- Various types of JOIN operations
- Normalization and its different forms
- Aggregate functions and their applications
- Indexes and their types
- SQL Injection and security measures
- Primary Key vs. Unique Key
- Advanced SQL queries for specific scenarios


Enhance your SQL skills and ace your interviews with this detailed guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

SQL Interview Questions

I am excited to share a valuable resource: SQL Practice 1!

This comprehensive guide provides 24 practical SQL queries to help you enhance your database management and query-writing skills. 

Perfect for students, professionals, and anyone looking to deepen their SQL knowledge, this document covers a wide range of scenarios using single table queries, aggregation, and group by statements.

Key topics include:
- Displaying specific columns and rows
- Using DISTINCT to remove duplicates
- Filtering data with WHERE and LIKE clauses
- Aggregating data with SUM, COUNT, MAX, and MIN functions
- Grouping data with GROUP BY and HAVING clauses
- Joining tables and using subqueries


Enhance your SQL skills and become proficient in writing efficient and effective queries with this practical guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

SQL Practise

I am excited to share an insightful resource: An Overview of Data Engineering!

This comprehensive guide covers the fundamental aspects of data engineering, making it an essential read for anyone interested in the field.

From understanding the core processes to mastering the required skills, this document provides a thorough overview of what it takes to be a successful data engineer.

Key topics include:
- What is data engineering?
- Required skills and knowledge for data engineers
- The relationship between Data Engineering and Data Science
- Detailed explanation of the ETL (Extract, Transform, and Load) process
- Introduction to the ELT (Extract, Load, Transform) process
- Understanding data pipelines and their significance

Enhance your knowledge of data engineering and learn how to efficiently manage and transform data for analysis and decision-making with this detailed guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

Data Engineering Intro

As a Data Engineer, I see it all the time:

Talented professionals stuck in the same role,

frustrated that no one’s noticing their hard work. 🙁

Here’s something to keep in mind:

Being ready for a promotion and demonstrating that you’re ready are two completely different things.

Here are 7 signs you’re already ready for that next step (and might not even know it):
(These graphics are created by Shulin Lee)

1/ You’re Exceeding Expectations.
↳ You’re consistently meeting and surpassing every goal set for you.
↳ Your work quality stands out, often delivering beyond what was asked.
↳ You take on additional tasks or challenges without being asked.

2/ You’re Already Acting Like a Leader.
↳ You guide and mentor your colleagues without having the official title.
↳ You step in to solve problems when others are unsure of what to do.
↳ Your decisions are driven by impact, not by recognition or rank.

3/ You’re the Go-To Person.
↳ Colleagues come to you when they’re stuck or need guidance.
↳ You’re seen as someone who can provide reliable solutions, fast.
↳ Your expertise and willingness to help have made you indispensable.

4/ You Take Initiative.
↳ You don’t wait for tasks to be assigned; you take charge proactively.
↳ You spot inefficiencies and propose solutions to fix them.
↳ You bring ideas to the table that align with company goals, acting fast to implement them.

5/ You’re Adding Value Beyond Your Role.
↳ You consistently identify opportunities to contribute outside your job description.
↳ You help other teams, offering your expertise to drive success beyond your department.
↳ You think about the company's long-term growth and act to support it.

6/ You’ve Been Mentoring Others.
↳ You train new hires and guide peers through complex tasks.
↳ You share your knowledge openly, ensuring that the team grows collectively.
↳ You’re proving that you can lead a team, not just complete individual tasks.

7/ You’re Actively Seeking Feedback.
↳ You regularly ask for constructive criticism to improve your performance.
↳ You’re open to hearing where you can grow, and you take steps to improve.
↳ Your growth mindset shows you’re ready to take on bigger challenges.

👉 Sound familiar?
If so, it’s time to step up!

But here’s the thing: your boss might not have noticed yet. 
Don’t wait for someone to recognize your potential—take action!

Schedule that conversation.
Show them why you’re ready to take on more responsibility.

And if they still don’t see it?
It might be time to find someone who does.

P.S. Do you think I missed something? Let me know what you’d add below ⤵️

________________________________________

♻ Repost this to help someone in your network!
🔔 And follow Emmanuel Ogungbemi for more career tips and insights.

ready to move up

7 Toxic Comparison Traps to Avoid 🛑

Feeling stuck in your progress? Read this (by Dr Dupe Burgess).

1.	The Success Timeline Trap
↳ Comparing yourself to others' timelines.
↳ Frustrates and undermines your unique journey.
↳ Focus on personal growth, celebrate small wins.

2.	The Job Title Obsession Trap
↳ Titles don’t define your value or success.
↳ Obsession hurts self-esteem and growth.
↳ Focus on impact, not titles.

3.	The Salary Showdown Trap
↳ Constantly comparing salaries leads to frustration.
↳ Overlooks job satisfaction and personal growth.
↳ Consider fulfilment, not just the paycheck.

4.	The Achievement Highlight Reel Trap
↳ Social media shows wins, hides struggles.
↳ Creates unrealistic expectations of your journey.
↳ Acknowledge hard work behind every success.

5.	The “Dream Job” Fantasy Trap
↳ Comparing your job to someone’s "dream job."
↳ Leads to dissatisfaction and stagnation.
↳ Find purpose in your current role.

6.	The Speed of Success Trap
↳ Feeling slow while others succeed fast.
↳ Creates anxiety and feelings of inadequacy.
↳ Focus on your own growth pace.

7.	The Skill Set Envy Trap
↳ Envying others’ abilities limits your growth.
↳ Leads to inadequacy and low productivity.
↳ Focus on strengths, collaborate with others.

________________________________________

Stop comparing, start focusing on your growth today.

♻ Repost to help others avoid comparison traps!
🔔 Follow Emmanuel Ogungbemi for more personal growth insights.

7 toxics

I am excited to share an essential resource: An Introduction to SQL by Alkistis Pourtsidou from Queen Mary, University of London!

This comprehensive guide covers the fundamental concepts of SQL, making it perfect for students, professionals, and anyone looking to deepen their understanding of databases and SQL. 

From basic queries to advanced operations, this document provides a thorough introduction to SQL.

Key topics include:
- What is SQL and why we need databases?
- Ways to use SQL: console commands, GUI interfaces, and programming language interfaces
- Basic SQL commands: SHOW DATABASES, SHOW TABLES, SHOW COLUMNS, DESCRIBE
- Variable types supported by SQL: Numeric, Character, Binary, and Temporal
- Hands-on examples using SQLite3 in Python
- Exploring tables and combining information using JOIN
- Exercises and tasks to practice SQL skills
- Introduction to PostgreSQL: installation, creating databases, and running queries
- Handling NULL values, creating views, string concatenation, and subqueries


Enhance your SQL skills and database management knowledge with this detailed guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

An Introduction to SQL

I am excited to share an essential resource: Structured Query Language (SQL) by Fang Ying, Sham!

This comprehensive guide covers fundamental SQL concepts and commands, making it perfect for students, professionals, and anyone looking to deepen their understanding of SQL and database management.

Key topics include:
- Creating and using databases and tables
- Inserting, updating, and deleting records
- Basic SQL queries: SELECT, WHERE, ORDER BY, DISTINCT
- Advanced SQL operations include JOINs, UNIONS, INTERSECT, and EXCEPT.
- Working with views, temporary tables, and common table expressions (CTEs)
- String functions, subqueries, and stored procedures
- SQL ranking functions: ROW_NUMBER, RANK, DENSE_RANK, NTILE
- Handling NULL values and using CASE statements
- Aggregation functions: COUNT, SUM, AVG, MAX, MIN
- Data type conversions and partitioning

Enhance your SQL skills and streamline your database management tasks with this detailed guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

SQL Commands II

I'm excited to share an essential resource: the Python Basics Cheatsheet by Waleed Mousa!

This comprehensive cheatsheet covers fundamental Python concepts and commands, making it perfect for beginners and experienced programmers alike. 

It's a handy reference guide to enhance your coding skills and boost your productivity in Python.

Key topics include:
- Basic Syntax and Operations
- Data Structures: Lists, Dictionaries, Tuples, and Sets
- Control Flow: If statements, loops, and comprehensions
- Functions and Modules: Defining, importing, and using functions
- Error Handling: Try-except blocks and raising exceptions
- File Handling: Reading, writing, and managing files
- Object-Oriented Programming: Classes, objects, inheritance, and more
- Advanced Topics: Lambda functions, generators, decorators, and context managers
- Popular Libraries: NumPy, Pandas, Matplotlib, and more
- Date and Time Operations
- File Paths and Directories
- Networking and HTTP Requests
- Debugging and Profiling
- Testing and Writing Unit Tests
- Virtual Environments and Packaging
- Regular Expressions
- Data Serialization: JSON and Pickle
- Multithreading and Multiprocessing
- Asynchronous Programming


Enhance your Python programming knowledge and keep this cheatsheet as a quick reference to streamline your coding tasks!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

Python Basics

I am excited to share an essential resource: DBMS & SQL Notes!

This comprehensive guide covers the fundamental concepts of Database Management Systems (DBMS) and SQL, making it perfect for students, professionals, and anyone looking to deepen their understanding of databases.

Key topics include:
- Introduction to Databases and DBMS
- Entity-Relationship (ER) Diagrams and their Components
- Types of Attributes and Keys
- SQL Commands: DDL, DML, DCL, and TCL
- Basics of SQL syntax: SELECT, INSERT, UPDATE, DELETE
- Advanced SQL topics: Joins, Subqueries, and Aggregate Functions
- Normalization and its various forms
- ACID Properties and Transaction States
- Relational Algebra and its operators

Enhance your database management skills and SQL knowledge with this detailed guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment

SQL Tips

Cloud Computing Tutorial

I am excited to share an essential resource: Introduction to SQL and Databases by Peter Smyth from the Cathie Marsh Institute!

This comprehensive guide provides a detailed overview of SQL and databases, making it perfect for students, professionals, and anyone interested in understanding database management. 

From the basics of databases to advanced SQL queries, this document covers it all.

Key topics include:
- What is a database?
- Different types of databases (SQL and NoSQL)
- When the desktop isn’t enough
- Introducing SQL and its commands
- Database environments and user interfaces
- Detailed explanation of DDL and DML statements
- Writing and executing SELECT queries
- Practical demonstrations using DB Browser for SQLite and MS Query from Excel


Enhance your database management skills and SQL knowledge with this comprehensive guide!

- Repost to share with others
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- Add your comment!

Introduction to SQL and Databases

Pass Your Next Data Science Interview with Confidence

I remember the jitters I felt the night before my first big data science interview. 

The fear of the unknown questions was overwhelming. 

But I soon learned that preparation is the key to turning anxiety into confidence.

Facing a data science interview can be daunting, not knowing what challenges await. 

Yet, with the right preparation, you can transform this hurdle into a stepping stone for your career advancement.

DOs:
- Understand the Basics
Ensure you have a solid grasp of fundamental data science concepts. 
It’s your foundation that will carry you through.

- Practice Common Questions
Review questions like "Explain a time when you solved a problem with data" to refine your answers and delivery.

- Discuss Practical Applications
Be ready to discuss how you've applied theoretical knowledge in real-world scenarios. 
This showcases your hands-on experience.

Don't Memorise Answers
- Instead of rote learning, understand the rationale behind solutions. 
This will help you adapt your answers to any unexpected questions.

Don't Neglect Soft Skills
- Communication and teamwork are as crucial as technical skills. 
Demonstrate your ability to articulate and collaborate.

Don't Underestimate the Company Research
- Tailor your responses to the company’s specific data challenges and culture. 
Showing that you’ve done your homework can set you apart.

How did you prepare for your last data science interview? 

What tips can you share that made a real difference?

If you’re gearing up for a data science interview, remember, preparation is your best ally. 

Like, comment, and share your interview experiences and tips!

Data Science Interview Questions and Answers

In a crowd of opinions, the softest voices often carry the deepest insights.

This message, inspired by Dora Vanourek, truly resonates.

Here’s what introverts wish leaders said in meetings:
(and a few things not to say):

✅ "Let's take a moment to think this through."
↳ Introverts need time to process before speaking.
↳ This approach gives everyone a chance to reflect.
↳ It leads to more thoughtful and meaningful input.

✅ "If you have further thoughts, email them to me."
↳ Introverts often think of their best ideas later.
↳ Written communication can be more comfortable.
↳ Ensures valuable insights aren't missed after the meeting.

✅ "We'll discuss XYZ next time. Bring your ideas."
↳ Provides time for introverts to prepare and reflect.
↳ Encourages thoughtful contributions in future discussions.
↳ Boosts confidence in sharing ideas during the meeting.

❌ "You are so quiet today."
↳ Quietness doesn’t mean disengagement.
↳ Comments like this can feel judgmental.
↳ It’s better to appreciate different communication styles.

❌ "Try to be more outgoing in meetings."
↳ Suggests their natural style is wrong.
↳ Not everyone is comfortable speaking on the spot.
↳ Emphasizes extroverted behavior as the standard.

❌ "Everyone share a fun fact about themselves!"
↳ Personal sharing can be uncomfortable.
↳ Introverts may feel stressed or pressured.
↳ Creates anxiety rather than fostering connection.

True leaders don’t just listen to the loudest voices.
They create space for those who often go unheard.

Respecting different communication styles fuels collaboration.
Let’s build inclusive cultures where everyone thrives.

How do you ensure all voices are heard in your meetings? 
Let me know in the comments👇

♻️ Repost to support introverts in the workplace.
➕ Follow Emmanuel Ogungbemi for more leadership and workplace insights.

intovets

I am excited to share an invaluable resource: SQL Interview Questions!

This comprehensive guide covers a wide range of SQL interview questions, from fundamental concepts to advanced techniques. 

Whether you're a beginner or an experienced professional, this document provides detailed answers to help you ace your SQL interviews.

Key topics include:
- What is a Database?
- Understanding DBMS and RDBMS
- The basics of SQL and differences between SQL and MySQL
- Explanation of Tables, Fields, and Constraints
- Primary Key, UNIQUE constraint, and Foreign Key
- Different types of Joins and their applications
- Self-Join and Cross-Join
- Indexes, their types, and differences between Clustered and Non-clustered indexes
- Data Integrity and various SQL Queries
- Subqueries and their types
- Common clauses used with SELECT query
- UNION, MINUS, and INTERSECT commands
- Working with Cursors and understanding Entities and Relationships
- Various forms of Normalization and Denormalization
- Differences between TRUNCATE, DELETE, and DROP statements
- Aggregate and Scalar functions
- User-defined functions and their types
- Understanding OLTP and OLAP
- Collation and types of Collation Sensitivity
- Stored Procedures and Recursive Stored Procedures
- Creating empty tables with the same structure as another table
- Pattern Matching in SQL


Enhance your interview preparation and SQL knowledge with this detailed guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

8 visualisations that are better than 1000 words!

♻ Repost to share with your network
🔖 Save this post for future reference
💬 Add your thoughts in the comments!

another viz

7 Clear Signs You’re Being Undervalued at Work:

(And what to do about it)

1.	You’re Excluded from Decisions
↳ Major decisions are made without your input.
↳ This makes you feel sidelined and unimportant.
↳ Being part of key discussions should be the norm, not the exception.

2.	They Give You Busywork, Not Impactful Projects
↳ You’re handed small, non-impactful tasks while others take on critical projects.
↳ Your potential is being wasted on work that doesn’t move the needle.
↳ Push for projects that align with your strengths and goals.

3.	You’re Not Set Up to Succeed
↳ You lack the resources, support, or clarity needed to perform well.
↳ This leads to frustration and sets you up for failure.
↳ Success requires the right tools and direction—don’t settle for less.

4.	Your Role Expands Without Rewards
↳ You’re constantly taking on more responsibilities, but your title and pay stay the same.
↳ If you’re doing more, you deserve to be compensated accordingly.
↳ Speak up about aligning your role with fair recognition.

5.	No Recognition for Your Hard Work
↳ Your contributions go unnoticed, and there’s no appreciation for what you do.
↳ Recognition is key for morale and motivation, and everyone deserves it.
↳ It’s time to request regular feedback and acknowledgment.

6.	Your Growth Stalls
↳ You’re not being given opportunities to develop new skills.
↳ If you feel stuck, it’s a sign your potential isn’t being nurtured.
↳ Start exploring options that align with your growth ambitions.

7.	Inadequate Compensation
↳ Your salary doesn’t reflect your contributions to the company.
↳ If others in similar roles are being paid more, it’s time to negotiate.
↳ Know your worth and advocate for fair compensation.

________________________________________

Feeling undervalued can be draining, 
but recognizing the signs is the first step to change.

Do any of these resonate with you? 
Let me know in the comments! 👇

Thanks, Dora Venourek for sharing.

♻️ Repost to help others recognize their worth.
🔔 Follow Emmanuel Ogungbemi for more workplace and career insights.

7 Signs You Are UnderValued At Work

When I first entered the world of data, I discovered the power of SQL and databases to transform raw data into meaningful insights.

The challenge? 

Many professionals struggle to grasp the foundational concepts and practical applications of SQL.

Here's how I mastered SQL and databases and advanced my career:

1. Learning the Basics
I started with the core concepts of relational databases and understanding tables, relationships, and critical constraints.

2. Hands-On Practice
Wrote optimised SQL queries to extract, manipulate, and analyse data across various projects.

3. Complex Problem Solving: 
Designed and implemented efficient database schemas and complex queries to support large-scale data platforms.

4. Continuous Improvement
Stayed updated with the latest database technologies and best practices through courses, certifications, and community involvement.

Now, let's talk about you.

Are you looking to enhance your skills in SQL and databases but don't know where to start?

Here's a structured approach to help you:

1. Understand the Fundamentals
- Learn about relational database concepts and structures.

2. Get familiar with SQL syntax and basic queries (SELECT, INSERT, UPDATE, DELETE).

3. Practical Application
- Practice writing SQL queries to solve real-world problems.
- Use database management systems like MySQL, PostgreSQL, and Microsoft SQL Server.

4. Advanced Techniques:
- Explore advanced SQL topics such as joins, subqueries, indexing, and transaction management.
- Learn how to denormalise database schemas for efficient data storage and retrieval.

5. Continuous Learning and Networking
- Join SQL and database forums to ask questions and share knowledge.
- Attend webinars and workshops to stay updated with industry trends.

I've created a comprehensive Data Analyst Roadmap to support your learning journey with essential steps and resources for mastering SQL and databases.

To get a link to download your free Data Analyst Roadmap, do this:
1. Repost 
2. Comment "share".

You have the potential to excel in SQL and database management, and I'm here to help you achieve your goals.

Let's connect and share our experiences in data engineering and analytics!

Excited to share an essential resource: Data Engineering Cert Prep - Notes!

This comprehensive guide is perfect for anyone preparing for a data engineering certification. It covers a wide range of topics, from Databricks basics to advanced ETL processes with Spark SQL, making it an invaluable resource for data engineers.


Key topics include:
- Databricks Basics: Creating clusters, using notebooks, and running different languages.
- Delta Lake: Managing Delta tables, merge operations, and advanced options like Optimize and Z ORDER.
- Relational Entities: Databases, tables, views, and common table expressions (CTEs).
- ETL with Spark SQL: Querying files, creating Delta tables, and writing to tables.
- Advanced SQL Transformation: Working with JSON data, arrays, joins, pivot tables, and higher-order functions.
- Python for Spark SQL: Using Python for data manipulation and control flow within Spark SQL.
- Incremental Data Processing: Utilizing Autoloader for incremental data processing.
- Medallion Architecture: Understanding the Bronze, Silver, and Gold architecture for data processing.
- Delta Live Table: Using declarative language for ETL processes, quality control, and referencing streaming tables.
- Task Orchestration: Running jobs and managing dependencies with DAG.
- DB SQL & Dashboard: Executing SQL queries, creating dashboards, and setting up alerts.
- Managing Permissions: Using Data Explorer to set and modify permissions.


Enhance your preparation for data engineering certifications and streamline your data engineering processes with this detailed guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

taplio

The Battle

Leah Scarnegi

Dr Emmanuel Ogungbemi

Followers

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Performance ScoreLeah Scarnegi's LinkedIn Performance

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Leah Scarnegi

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Leah Scarnegi's LinkedIn Performance

Performance ScoreDr Emmanuel Ogungbemi's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreLeah Scarnegi's LinkedIn Performance