NamasteSQL

Founder

Amazon Web Services (AWS)

Data Engineer III

Data Engineer II

Deloitte

Senior Consultant 2

Senior Consultant 1

Ness Digital Engineering

Lead Technical

IBM India Private Limited

Data Specialist- ETL Datastage

Infosys

Senior Systems engineer

SQL Guy, AWS, Tableau Certified , Data Modelling, DWBI, Machine Learning, Python,BI, ETL (Datastage/Informatica),Data warehousing , Unix scripting ,Product Development, SAP HANA, Supply chain analytics, pharmacovigilance.

Ankit Bansal

I think developers in 2025 are matured.


Even if tomorrow the definition of even odd changes and documented, there is no need to change the code 🤓🤓

Founder @ NamasteSQL.com | SQL Champion | YouTuber

No alternative text description for this image

Look at this Data Engineer JD from Apple.
One of the biggest FAANG companies.


Just see how many times they’ve written SQL and SQL related skills.


People think every DE job needs Spark, Databricks, Azure, fancy architectures…

No.

A strong hold on SQL, Python, ETL and data modelling can still take you into top companies.

Don’t get distracted by buzzwords.
Don’t chase every new tool.

Get damn good at the basics.
They’ll take you farther than you think.

Link to the job in the comments section . Apply now .

We have built something incredible at NamasteSQL , something no other platform has done.


Introducing ETL and data pipelines questions on the platform. You can write full ETL code in two ways:

1 - Python
2 - Spark

We are integrating multiple data sources, and now you can practice end to end ETL directly on the platform. 

This is a big step toward our mission of making NamasteSQL the best data practice platform out there.

A lot of exciting things are in the pipeline and I cannot wait to share more.

We have added the first three ETL questions already. Check them out from the links in the comments. Feedback is welcome 🙏

Everyone wants to learn PySpark…
But most people get stuck between theory and actual hands on skills.

So I created a complete end to end PySpark ETL pipeline from scratch.

No nonsense. No filler.
Just pure practical ETL.

If you’ve been wanting to start PySpark for Data Engineering, this is the perfect starting point.

🚀 Build Your First PySpark ETL Pipeline Step by Step . 

Link to the video in the comments section .

🚨Announcing SQL Hackathon on NamasteSQL (Dec 12th to 14th)🔥🔥

If you want to test your SQL skills in a real challenge, this is your moment.

We are launching a three day SQL Hackathon on NamasteSQL.

You will get a one hour window to solve five SQL questions based on real world scenarios.

You can take the test anytime during the event window.

Enrollment is completely FREE.

As soon as you enroll you also get access to a sample test so you know exactly how the platform works.

Whether you are preparing for data engineering, analytics, BI or just want to sharpen your SQL thinking under pressure, this challenge is for you.

🔥 No theory
🔥 No fluff
🔥 Pure problem solving

Do not miss this.
Enroll now and get ready to compete.

Link to enroll in the comments section .

Let the challenge begin.🙌

Anandnarayanan S is leading the chart in the SQL hackathon. 2 more days to go !!!

Just go to namastesql dot com to participate in the hackathon.

Motivation gets you started.
Habit keeps you going.

Motivation is a spark.
Habit is the engine.

Motivation is unstable.
Habit is automatic.

Motivation depends on mood.
Habit survives bad days.

Motivation needs energy.
Habit saves energy.

If you truly want long term growth:
Stop chasing motivation.
Start building habits.

Tiny actions repeated daily beat big bursts done rarely.

Black Friday sale on Udemy . Get 100 days of sql at just Rs 389. Use code : BF2025 


Course link : https://lnkd.in/g-7AEe8G


PS : This course has top 100 sql questions from my YouTube channel . You can run and validate your query on Udemy exercise itself . 

PPS : It’s available on Udemy business as well .

Want to flaunt your SQL skills? Here is your chance.



NamasteSQL is hosting a three day SQL Hackathon from Dec 12 to Dec 14.

Five real world SQL questions. 60 mins to solve them.

Take the test anytime during the window.

This is the perfect way to see where you stand, sharpen your thinking, and compete with thousands of learners across the globe.

And yes, enrollment is completely FREE.
You will also get a sample test right after enrolling so you know exactly how the platform works.

If SQL is your strength, prove it.
If SQL is your weakness, fix it.

Join the hackathon and show what you have.
Link to register in the comments section .

Massive Black Friday sale at NamasteSQL on below courses :



1 - Analytics Engineering Bootcamp
2 - Snowflake Data Engineer Bootcamp
3 - SQL for data analytics/engineering 
4 - Python For data analytics/engineering 
5 - Power BI for data analytics 
6 - Tableau for data analytics 
7 - All plans of coding problems (Analytics , Python coding and ETL questions) 


If you want to move from theory to production ready skills, these courses are built for doers. Hands on labs, real projects, interview focused prep. 

Everything you need to ship real work and clear tough interviews.

Use code BF2025 at checkout to get flat 28 percent discount. 

PS : Discount not applicable on combos . 

#analytics #engineering

Accenture

Deliver end-to-end analytics solutions for global clients, leveraging Power BI, SQL, Snowflake, Python, and GenAI to optimize Accounts Receivable (AR), Accounts Payable (AP), and Order-to-Cash (O2C) processes. Skilled in requirement gathering, stakeholder communication, and turning complex datasets into actionable insights.

Key Highlights:

AR Dashboard (Flagship Project):

Designed an executive summary tracking reserves (≥3.1%, rising to 3.2% in 6 months).

Reduced past-due % in a key region from 11.5% to 6.7% within six months.

Flagged high-risk accounts and identified billing process gaps despite a 76% rise in 90+ aging.

Enhanced forecasting accuracy through GenAI-powered anomaly detection and predictive modeling.

Dispute Management Dashboard: Tracked $2.69B+ across 57K+ cases, increasing resolution efficiency by 76% and improving visibility for leadership.

Automated financial reporting with Python, reducing manual effort and enabling near real-time insights.

Leveraged Snowflake for data modeling, query optimization, and seamless integration of large datasets into interactive dashboards.

Impact: Achieved a 42% reduction in past-due accounts, improved reserve accuracy, and enabled proactive financial decision-making through data-driven strategies.

Sr Decision Science Analyst

Unstop

Mentor

topmate.io

Data Analytics Mentor

Emergi Mentors PTY LTD

With over 5 years of industry experience across Energy, Retail, and Supply Chain domains, I’ve contributed to data-driven success stories at global companies like Schneider Electric and Polaris Inc. My technical expertise includes SQL, Power BI, Snowflake, Python, and Alteryx—skills I’ve applied to solve real-world business problems, improve operational efficiency, and deliver meaningful insights to stakeholders.

As a Mentor, my mission is to guide aspiring analysts through every stage of their career journey—from mastering tools to landing their first or next role.

What I Offer:

✅ Resume Review & Writing Services – Get professionally crafted resumes tailored to data roles, plus one-on-one reviews to showcase your strengths and align with recruiter expectations.

✅ LinkedIn Optimization & Personal Branding – Build a compelling online presence that attracts recruiters and showcases your data expertise.

✅ Targeted Job Application Strategy – Learn how to apply smart, not just hard, by focusing on roles that match your skill set and growth goals.

✅ Hands-On Training with Real-World Projects – Learn SQL, Power BI, and more through practical scenarios from real business cases.

✅ Industry-Ready Portfolio Development – Craft an impactful portfolio with dashboards, reports, and case studies that reflect your capabilities.

✅ Mock Interviews & Networking Support – Personalized mock interviews, recruiter connections, and strategies to confidently enter the job market.

✅ Live & Recorded Webinars – Sessions covering tools, technical concepts, stakeholder communication, and interview readiness to keep you ahead of the curve.

Whether you’re just starting or aiming for your next big leap, I’ll help you build the skills, strategy, and confidence to succeed in the data world.

Polaris Inc.

Collaborated with cross-functional teams to identify business challenges, formulate data-driven solutions, and develop or modify ad hoc queries using advanced data analytics tools. Provided actionable insights that addressed dynamic business needs and enabled informed decision-making.

➡️ Analyzed and optimized SQL queries within Snowflake to assess historical data trends and demand patterns, devising strategies that improved inventory management across APAC, resulting in optimized stock levels and reduced excess inventory.

➡️ Utilized Power BI dashboards to drive sales and marketing strategies, leading to a 15% increase in invoice revenue through data-driven decision-making and enhanced reporting.

➡️ Played a pivotal role in the HIVE transition of D365 from DAX 09, successfully migrating over 1 million records using Snowflake, ensuring seamless system optimization and reducing data retrieval times by 30%.

➡️ Developed and deployed Power BI dashboards to monitor and visualize key business metrics, track invoice statuses, approvals, and payment schedules, providing real-time insights for improved financial visibility and operational efficiency.

➡️ Achieved a 75% reduction in invoice processing time through automation expertise in Advanced Excel, integrated APIs, and process optimization techniques. Focused on data integration, KPI development, financial reporting, and workflow automation, ensuring data quality and integrity throughout.

➡️ Designed and automated Alteryx workflows for the Sales Pricing Analysis in the EMEA region, automating daily and weekly data updates using the Alteryx Scheduler and Alteryx Server, significantly enhancing the speed and accuracy of pricing analysis.

• Hands-on tech: Power BI, Snowflake,  Alteryx,Dynamic-D365,MS - Excel

Data Analyst

Schneider Electric

Collaborated with internal stakeholders to define key performance indicators related to energy use, and 
emissions, and support supply chain management operations.

➡️ Specialized in data visualization and reporting tools like Power BI, showcasing strong analytical skills and managing diverse data sources to deliver actionable insights in the energy and supply chain domains.
➡️ Conducted exploratory data analysis (EDA) and statistical analysis using Python and Excel, uncovering trends and patterns that supported data-driven decisions for energy optimization.

➡️ Managed databases using SQL Server, focusing on energy data within the Global Risk Analytics team and contributing to sustainability initiatives, aligning with corporate goals in the energy and sustainability domain.

➡️ Created and presented dynamic reports using Power BI to highlight energy consumption trends and pinpoint areas for improvement, leading to a 15% increase in client satisfaction.

➡️ Developed and maintained real-time dashboards in Power BI to track key performance indicators (KPIs) for energy usage, increasing reporting efficiency by 30%.

➡️ Collaborated with cross-functional teams to design and implement smart energy meter solutions, resulting in a 25% improvement in data accuracy and a comprehensive energy management strategy.

➡️ Managed and queried large datasets (over 2 million records) using SQL Server, ensuring data integrity, and conducted advanced Excel analysis to enhance decision-making, boosting operational efficiency by 20%.

➡️ Supported the deployment of smart energy meter initiatives with data-driven insights, leading to the installation of meters in 100 new locations and contributing to supply chain optimization.

➡️ Leveraged business intelligence tools to enhance reporting capabilities, streamline processes, and provide strategic insights in both energy management and the supply chain sector.

• Hands-on tech: Python, Tableau, SQL Server, MS - Excel, APIs

Celebal Technologies

• Collaborate with business teams to understand their data needs and ensure that the data 
transformation processes meet their requirements.
• Generated data visualization of hidden insights for business communication for the Retail and 
Marketing sector. 
• Create interactive dashboards, reports, and visualizations using Power  BI tools.
• Write complex SQL queries to clean, transform, and aggregate data.

Associate(Business Intelligence)

Senior Analyst @ Accenture | Helping Students & Beginners Break into Data Careers | 1:1 Coaching, Projects, & Career Roadmaps | 350+ placed | Open to collaborate| Youtuber

350+ 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐭𝐨𝐫𝐢𝐞𝐬 & 𝐂𝐨𝐮𝐧𝐭𝐢𝐧𝐠

My journey started exactly where you might be now…
In 2015, I graduated as a Mechanical Engineer and worked for 2 years as a Maintenance Engineer.

From 2017 to 2019, I pursued the UPSC journey, which sharpened my analytical and problem-solving mindset.

In 2019, I made a move into the world of Data Analytics, without a technical background, connections, or a clear roadmap.
Back then, I had no clear roadmap, just trial and error.

You don’t have to go through that alone.
Through years of mentoring and refining my process, I’ve now helped 2000+ students successfully break into data analytics careers, and counting.

What I Offer:
●	Personalized career roadmaps for non-technical professionals seeking analytics roles.
●	Resume revamps that highlight your transferable skills.
●	1:1 job search coaching with practical, buzzword-free advice.
●	Interview preparation tailored to analytics positions.
●	Community support from fellow career-changers.
●	Available for collaborations, workshops, speaking events, and career guidance.

Who Benefits From My Mentorship:
●	Career switchers uncertain about first steps into data.
●	Students feeling overlooked in the job market.
●	Working professionals seeking growth in analytics.
●	Anyone without a traditional tech background who wants to break into data.


Let's Connect:
●	Email: mk24sablani@gmail.com
●	For Australian students: https://emergimentors.com.au/dashboard

Mukesh Sablani

𝐅𝐫𝐨𝐦 𝐚 𝐆𝐨𝐯𝐞𝐫𝐧𝐦𝐞𝐧𝐭 𝐒𝐜𝐡𝐨𝐨𝐥 𝐭𝐨 𝐚 𝐆𝐥𝐨𝐛𝐚𝐥 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 : 𝐌𝐲 𝐒𝐭𝐨𝐫𝐲 𝐨𝐟 𝐒𝐞𝐥𝐟-𝐁𝐞𝐥𝐢𝐞𝐟

I studied in a small government school where dreams rarely went beyond finding a stable job.

English wasn't my first language. 
Opportunities were few. 
Confidence? Almost none.

But one thing changed everything - 𝐈 𝐝𝐞𝐜𝐢𝐝𝐞𝐝 𝐭𝐨 𝐛𝐞𝐥𝐢𝐞𝐯𝐞 𝐢𝐧 𝐦𝐲𝐬𝐞𝐥𝐟.

→ I stopped comparing my background to others. → I started focusing on small, consistent progress. → I learned to speak up, even when my voice shook.

Step by step, I built skills, confidence, and a new vision for myself.

Today, as a 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭, I work with global teams, turn raw data into actionable insights, and mentor others who once felt "not enough."

Self-belief turned my limits into launchpads.

Your background does not define your ceiling - your mindset does.

If you're reading this from a small town, a humble school, or a place where big dreams feel out of reach - 𝐤𝐞𝐞𝐩 𝐠𝐨𝐢𝐧𝐠.

The world is bigger than where you started.

What's one belief that held you back, and how did you overcome it?
Let's inspire each other below! 

follow Mukesh Sablani for more insights

Helping Students & Beginners Break into Data Careers | 1:1 Coaching, Interview Strategist, &Career Transition Specialist for Tech Professionals ,Freelance Data Analyst| 350+ placed | Open to collaborate| Youtuber

No one talks about this side of data analyst roles:  

When you picture a data analyst position, you might imagine endless hours spent building impressive dashboards or uncovering groundbreaking insights that change the direction of the business. The reality? It’s often a lot more nuanced—and sometimes a bit less glamorous.

Most beginners expect their days to be filled with:
- Analyzing cutting-edge datasets  
- Presenting key findings to leadership  
- Making strategic, high-impact decisions  

But here’s what really happens most of the time:
- Cleaning and wrangling messy data  
- Troubleshooting data pipelines and fixing errors  
- Communicating technical findings in simple terms  

The truth is, data analysts spend just as much time making sure the data is accurate and accessible as they do finding insights. And yes, those small, seemingly mundane tasks play a huge role in driving business success.

So if you’re stepping into your first analyst role, embrace the process—every spreadsheet cleaned is a step closer to making real impact. 📊

Which 'expectation vs reality' moment surprised you most in your own role? Share your story or thoughts below!

The Untold Side of Data Analyst Roles

I learned the hardest lessons of my Data analyst career the day my manager pulled me into a room and showed me a dashboard I built that no one could understand.

I realized I was making mistakes that had nothing to do with SQL and everything to do with how I worked.

Here are the mistakes I wish someone warned me about on day one.
→ Mistake 1: Running analysis without confirming the real business question.

→ Mistake 2: Jumping into SQL before defining the metrics.

→ Mistake 3: Building dashboards that look good but do not drive decisions.

→ Mistake 4: Ignoring data quality issues because they take extra time to fix.

→ Mistake 5: Overexplaining the math and underexplaining the insight.

→ Mistake 6: Keeping everything in your head instead of documenting your process.

→ Mistake 7: Being scared to challenge vague requests from stakeholders.

→ Mistake 8: Treating every request as urgent instead of prioritizing impact.

→ Mistake 9: Focusing only on tools instead of learning the business.

→ Mistake 10: Thinking your job ends when the report is delivered instead of following through on outcomes.

When I corrected these, my work became clearer, faster, and more valuable.
Your career will grow the moment your insights start moving the business, not just filling a dashboard.


For follow more Mukesh Sablani

I’m excited to share the badges I’ve earned on Topmate! 🏅


Each one reflects growth, consistency, and the support of an amazing community ❤️


These milestones remind me how every step - big or small - truly matters.


If you’ve unlocked your badges too, share them and let’s celebrate together! 🎉✨

https://lnkd.in/gQsZN_a2

I did not begin my career anywhere near data.

I started out as a mechanical engineer with no data background, no guide, and no clear direction.

My first role was far from technical.

I spent my days typing numbers into Excel files that someone else had created.
No formulas.
No SQL.
No Power BI.
Just manual updates.

Then one moment flipped everything.
Curiosity kicked in.

I watched a coworker use conditional formatting in Excel.
Seeing cells react on their own felt unreal.
That moment pulled me into learning.
So I kept going.

 One small win at a time.
→ Learned VLOOKUP
→ Built my first pivot table
→ Automated repetitive tasks with VBA
→ Became the Excel go-to person on the team
→ Picked up Python to automate reporting
→ Learned SQL and Tableau
→ Shifted company dashboards over to Power BI
→ Built large-scale BI systems
→ Guided and coached teams
→ Solved complex problems across the organization

None of this came quickly.
None of it came easily.
There were days where progress stalled.
Days full of broken data, messy pipelines, and confusion.
But every challenge pushed me deeper into analytics.

Now, five years later, my work includes:
→ Building dashboards
 → Data modeling
 → SQL troubleshooting
 → BI architecture
 → End-to-end BI delivery
 → Performance engineering

Each skill started with one simple step.
The lesson? You don't need the perfect background. You need curiosity and consistency.
Start small. Stay curious. Keep building.

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