George Firican

The University of British Columbia

Director, Data Governance & Business Intelligence

Led a team of wonderful and highly skilled people in the areas of:
- Finance
- Human Resources
- Information Systems
- Gift Processing 
- Operations
- Strategic Projects
- Prospect Research & Analytics 
- Data Governance & Business Intelligence 

To support the goals of the fundraising and alumni engagement portfolio across the university.

Chief Advancement Operations Officer (Interim)

Director of Information Technology (Interim)

• Lead the Data Governance/ Quality program and the strategy development of Development and Alumni Engagement’s (DAE) data acquisition, maintenance and dissemination while fostering innovation and long term strategic vision
• Lead the efforts to develop a business glossary as well as a business intelligence (BI) framework and program that provides user-friendly access to the right information for the right people at the right time
• Directed the development and enhancement of standards, procedures, processes, policies related to the improvement and/or maintenance of quality of data within the Blackbaud Enterprise CRM database
• Created and fostered strategic partnerships and influential relationships with DAE senior management, the broader UBC community, campus stakeholders, vendors, and external universities to secure the success of DAE’s data governance, business intelligence and information quality efforts
• Collaborated with Information Technology to manage the development of automated data validations, data cleanses, data quality issue reports, and deployment of new tools and enhancements to aid in the preservation of data quality
• Advanced the data governance and business intelligence profession by participating in professional organizations, acquiring or maintaining required accreditations, publishing articles, and giving presentations at professional events

Associate Director, Data Governance & Business Intelligence

I proudly took part of UBC's "Start an Evolution" campaign (https://startanevolution.ubc.ca/), campaign which raised $1.5 billion dollars for students, research and community engagement and to double the number of alumni involved annually in the life of the university by 2015.

• Established and led an award winning Data Governance/Quality Program to support the university’s $1.5 billion fundraising campaign and sustainable alumni engagement strategy
• Provided oversight of the Data Governance/Quality Program and kept it on track by managing the development of standards, procedures, processes, policies related to the acquisition, management, and dissemination of enterprise data impacting the Blackbaud Enterprise CRM database while leading the Advisory Council
• Developed an award winning Tracing Program through which the returned mail percentage of Development and Alumni Engagement’s Portfolio has been reduced to less than 1%
• Managed the development of business performance metrics and scorecards to monitor and communicate the status and improvement of service of the Records department
• Achieved a 92% address and phone number accuracy for Canadian records, an improvement from ~64%
• Communicated to and educated internal and external stakeholders on the results and initiatives of data governance, quality, master data management, information delivery and advised stakeholders about best practices; was the first and only department to achieve 100% on the annual client satisfaction survey on communication delivery and content

Data Quality Manager

LightsOnData

- Educational Content Creation: Develop and deliver comprehensive courses, workshops, and webinars on data governance, data management, data quality, AI, and more.
- Brand Amplification: Collaborate with data companies to enhance their brand visibility and thought leadership in the data community.
- Engagement and Outreach: Host the Lights On Data Show podcast, featuring industry leaders and experts to share their insights and experiences.

Founder

Pearson

Course Instructor

O'Reilly

iData Quality Academy

Developed course content for iData Quality Academy
- Data Profiling
- Data Quality Costs

Instructor

Self employed

• Provided project management and business analysis expertise to various projects across the different industries (BaniPePost.com, JT Business Group, SMAWS, 8p8, Ashenzi, NetPress Consulting, LTS, AHACommunity, etc).
• Designed and developed unique, highly professional web and print designs, branding and e-learning solutions as well as developing and configuring custom websites (e-stores, online communities, content management systems, blogs, brochure websites, etc.).
• Accumulated experience as a web master by installing, upgrading, performing backups, managing migrations and maintaining a series of complex websites.

Freelance Consultant

Sauder School of Business, UBC

• Served as internal Project Manager for the evaluation, build and deployment phases of a custom-built, scalable web payment gateway (WPG) that complied with the PCI standard requirements and reduced Sauder Finance’s operational time for the allocation and reporting of revenue received via card payments by 75%
• Managed the deployment of a FIPPA compliant e-newsletter tool (Industry Mailout) selected to achieve a standard for design and operational support while reducing expenses by $15k/year
• Planned and managed the development and release of a new service for personal/academic blogging through the use of the WordPress MU environment for faculty members and current Sauder students
• Managed the development of an improved content publishing process to account for 15 digital signs, each with audience specific content & emergency broadcasting capabilities
• Served as the internal project manager for the development and deployment of the Canaccord Learning Commons web presence comprised of a WordPress based website and a BuddyPress student interaction environment
• Developed solutions for integrating the business environment with web 2.0 technologies such as WordPress 3 based sites, online communities (Ning, Moodle), and collaboration tools (MediaWiki, Project Spaces, CoMapping) while providing expertise and system support for these platforms
• Identified customer requirements, analyzed and reviewed product features, integration, security, scalability and performance requirements for projects such as PPM Tool, a collaboration tool to be used between the Center of Health Care Management and BC health care authorities, Desktop Blogging Client Solution, ECM Society Online Presence, Faculty Master Calendar, Form Building Tool, Event Registration, PCI Payment Forms Conversions, and several online presences for different business areas and conferences

Project Manager / BA

Everest iTech

• Promoted to Project Manager for the Showtime Models website and web application and the All Ears accounting software development project due to excellent interpersonal, communication and leadership skills in the relationships with the client and internal development team
• Led the development of several e-commerce sites (ex: SkyHook Solar, Expressive Designs Florist, JT-Autotech) and dynamic websites (ex: Mailinglist System, Informant Zone) and also helped architect their databases
• Increased the employees' knowledgebase by developing e-learning modules and user manuals for the use of the company’s payroll and accounting software
• Enhanced the online awareness of the company’s brand by 40% by creating a new content strategy and redeveloping its website in a WordPress, SEO friendly environment
• Minimized the cost of online advertising by developing free distributed widgets that increased incoming traffic by 5k visitors/ month

Project Manager / Lead Web Developer

Event Technologies

• Developed customer support standards and procedures for the company’s e-store business and helped transition a staff of 12 to this new environment through training sessions and a knowledgebase wiki.
• Minimized the installation time of new systems by 80% by creating and managing standard desktop images based on the employees’ job roles.
• Reduced search time of hardware and software information by 50% by developing a standard for filing all the technical documentation on hardware equipment and software.

IT Consultant

WGOA

• Demonstrated strong leadership skills by acting as the team leader of a software developer group in order to successfully implement and deliver an interactive Go learning application two weeks ahead of deadline and within budget.
• Coded the backend interaction of a merchandise inventory application with a barcode scanner and also contributed to developing the MySQL database and reporting. 
• Facilitated the team members to work remotely by implementing a VPN solution and integrated the use of Subversion to enable software versioning and revision control.

Software developer

💬 Founder of LightsOnData.com and LightsOnData YouTube Channel
Focused on providing informative content such as ONLINE COURSES, templates, guides, best practices, articles, white papers, and other useful resources to help you with your data governance and data management questions and challenges

💬 Creator of online courses that are engaging, new, and thorough. 
Courses: Building an Award-Winning Business Glossary, Data Governance Maturity Models, Data Governance Fundamentals, etc. - check them out here: https://www.lightsondata.com/courses/

💬 Providing LinkedIn content strategy for data-focused companies and products, as well as those with a focus on artificial intelligence (AI), business intelligence (BI, data science, data management, and data governance areas.
Connect with me today and ask how I can help you reach the data audience.

💬 Host of Lights on Data Show - a podcast and LinkedIn Live weekly show that provides insights into the data world and showcases people that help to shape it.

💬 Get some fun data merchandise here: https://shop.spreadshirt.com/lightsondata/all

💬 International key note speaker, conference speaker, and panelist (spoken at over 60 different conferences).

💬 I love being on camera, hiking, surfing, filming, and video editing
YouTube: @LightsOnData


🏛 My experience and specialties: 
• Expertise in data governance, information quality, business intelligence & data management
• Extensive background in web and application development with experience of the full life-cycle of a project
• Strong leadership capabilities, organizational and communication skills

Specialties: 
• Enterprise information management: Information quality, data governance and stewardship, master data management, business intelligence, business process improvement
• Development: Web and application development, relational database design and development
• Planning: Budget and resource planning, agile and waterfall project management, team development and leadership
• Tools and Applications: Collibra, Tableau, MS Visio, MS Project, Premiere, Photoshop

George Firican 💡

I’m at Collibra’s Data Citizens event and really enjoying the conversations and energy. The message is clear: 

Organizations need to move from BI-ready to AI-ready data, and governance has to evolve with it.

Here’s why:
✅ AI is increasing ecosystem complexity
✅ Structured and unstructured data both need visibility and trust
✅ Governance must scale everywhere across platforms, engines and workloads

So here are some available features to help with above that got me excited:

1️⃣ Data contracts for improving consistency and transparency across data products
2️⃣ Custom rules with Text2SQL to turn natural language into precise SQL data quality checks
3️⃣ Derived relations to visualize multi-hop connections and lineage
4️⃣ Semantic Model Generation Agent to automatically generate semantic layers from physical data
5️⃣ Model Context Protocol server to give copilots and AI agents real-time governed context
6️⃣ Data recommender to guide teams toward trusted, approved data
7️⃣ AI model registry for governed model lifecycle tracking
8️⃣ Automated AI traceability across Azure AI Foundry
9️⃣ Microsoft Teams & Slack integrations for better data collaboration 

A lot of impressive innovation on display today. Interviews with Collibra leaders and partners coming soon.

Until next time, let’s keep putting the Lights On Data!
-George Firican  

#data #AI #datagovernance

💡 Award Winning Data Governance Leader | Content Creator & Influencer | Founder of LightsOnData | Podcast Host: Lights On Data Show | LinkedIn Top Voice

Navigating data challenges be like…

That’s why I recommend following these people here:

Learn Data Analytics here: Avery Smith  
Learn AI here: Christina Stathopoulos, MSc and Steve Nouri  and T. Scott Clendaniel  
Learn GenAI here: Doug Sheley  
Learn Data Engineering here: Andreas Kretz and Pooja Jain  
Learn Cybersecurity and Risk Management here: Mary Carmichael  
Learn Privacy, Risk and Compliance here: Thaïs Ramos
Learn Statistics here: Joshua Starmer PhD 
Learn Excel here: Matt Brattin  
Learn Tableau here: Donabel Santos  
Learn Data Visualization here: Kate Strachnyi  
Learn Data Literacy here: Jordan Morrow  
Learn Data Storytelling here: Brent Dykes and  Mico Yuk  
Learn How to Tell Your Data Story here: SCOTT TAYLOR
Learn Data Classification here: Susan Walsh  
Learn Digital Transformation here:⚡Achille Ettorre, MBA  
Learn Data Community Building here: Scott Stafford  
Learn Data Analytics Career Upskilling: Albert Bellamy  
Learn Business Intelligence here: Alex Freberg  
Learn Apache Iceberg here: Andrew Madson
Learn Data Management here: LightsOnData  
Learn Data Strategy here: Vin Vashishta  
Learn Data Freelancing here: Benjamin Rogojan 
Learn Data Contracts here: 🎯 Mark Freeman II  

Who else am I missing?

(Post inspired from Avery Smith)

#data #AI #datascience

It was a pleasure delivering my presentation on “Data Governance in the Age of AI” at The University of British Columbia’s Symposium 2025.

Great sessions, networking and knowledge sharing all around. 

Thank you again to the PrISM team for the invite and for putting together the month-long series of events to celebrate Cybersecurity Awareness Month.

Let’s keep putting the Lights On Data, Privacy, and Security!

—
Special thanks to Trevor Carpenter, Larry Carson, Zoe Armer and everyone involved behind the scenes to make this happen.

Thank you also to all the wonderful speakers and presenters such as Scott Baker, Maliheh Oliver, Salman Shahid, Dr. Gail Murphy, Mark Montgomery, Gráinne McElroy, Gurm Dhugga, Mawuena G., Waii Chow, Julie Le Hegarat, PhD, Tim Szigeti  and many others.

#data #privacy #AI

What if “data governance” wasn’t a checklist, but a way to ADVANCE your organization?
Here’s the 7-pillar framework I use to make it simple 👇

A – Accountability: Assign clear owners so decisions actually get made
D – Definitions: Create a shared language through glossaries and standards
V – Value Alignment: Tie every governance effort to business goals
A – Adaptability: Use governance as your engine for change
N – Necessity: Start where the value is highest and scale from there
C – Collaboration: Build cross-functional trust and shared goals
E – Education: Empower people to see governance as an enabler

If you could only strengthen one pillar right now, which one would move your organization forward the fastest?

And if you want to go deeper, my Practical Data Governance: Implementation course walks through how to apply each one (includes templates and examples): 
https://lnkd.in/gwBcYQg5

Let’s keep putting the Lights On Data.
-George Firican

#data #datagovernance #datastrategy

7 pillars of data governance

Great energy, amazing sessions, wonderful networking here at the Big Data & Analytics West Summit.

It was a pleasure catching up with the local data community, seeing old friends, and meeting new ones.

Let’s keep putting the Lights On Data!
-George Firican  

#data #ai

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There was a clear theme emerging at the Big Data and Analytics West Summit, and it showed up in the breakfast discussions, the keynote, presentations and every conversation. 👇

Reliable AI still comes down to one thing: the strength of your enterprise data foundation.

At the IBM breakfast, several roundtable discussions pointed to the same realization. As teams accelerate toward AI, the real bottleneck isn’t tooling. It is the clarity, quality, and accessibility of the data behind it.

Paul Zikopoulos, VP Technology Sales at IBM, reinforced this in his keynote. He talked about the curiosity tax that comes from gated or fragmented data, and how governance, lineage, sovereignty, and explainability aren’t administrative tasks. They are accelerators for AI.
When organizations know where data came from, how it can be used, and who owns it, the entire AI lifecycle becomes more reliable.

One point he shared stood out to me: GenAI is fundamentally an unstructured data problem. Most organizations haven’t even started unlocking the value in documents, PDFs, forms, logs, images, and everything that never makes it into a warehouse.

During my conversation with Paul, he also highlighted how leaders can start simply. Focus on automation and internal optimization use cases. Decide whether each AI initiative is meant to save money or generate money. Build from there.

Across the day, the message was consistent throughout peer discussions, panels, and other presentations. Data foundations are the reason AI works and we need to invest in getting those right. Governance, security, quality, stewardship and so much more... they all need to be in place.

How's your data foundation?

#ibmpartner #IBMCanada #data #AI

Key takeaways from Big Data Analytics West Summit

Did you know that AWS announced 60 AI Competency Partners across 3 NEW categories that will define the next era of intelligent systems:

✅ Agentic AI Applications
✅ Agentic AI Tools
✅ Agentic AI Consulting Services

These organizations represent innovation, scale and real world impact.
They are building autonomous systems, enabling smarter workflows, and helping enterprises activate their AI strategy with confidence and speed.

Do you have a favourite category or partner you are most excited about?

I will add the full list of partners in the comments so you can explore their work, follow their updates and connect with leaders who are shaping the future. 

You can also read more about all this here: https://lnkd.in/g-g7T22Z

Until next time, let’s keep putting the Lights On Data and Agentic AI.
-George Firican

#AI #agenticAI #partnerpost

Here is my recommendation for this week.
If Agentic AI is on your roadmap, checkout this ebook  👇

It breaks down what many overlook: AI success depends on the maturity of your data architecture.
Here's what else you can find in it:
• Clear explanation of what a modern, AI-ready architecture looks like
• Practical guidance on data quality, cataloging, lineage and governance
• A real example of how a bank scaled agentic AI by modernizing its foundation

So if you are leading data initiatives or planning for AI adoption, this is a good resource to read.

Until next time, let's keep putting the Lights on Data!
-George 
#data #AI #partnerpost

Modernize Data Architectures for  Agentic AI Success

What are your thoughts on AI generated videos or art?
Here’s a good example, in my opinion, on what happens when human creativity and AI-powered implementation come together.

Credit: Le Voyage (Paint World 28)


#ai #artificialintelligence

Data quality starts at the source… kind of  like good coffee.

I visited a shop that roasted its own beans, and the difference was undeniable. Fresh, intentional, crafted with care.

When we source data with the same level of attention, everything that comes after becomes smoother. Analytics flow better, insights become richer, decisions become clearer.

What do you think?
Happy weekend everyone! Let’s keep putting the Lights On Data!
-George Firican 

#data #dataquality

What do you think? Is AI making Master Data Management and Data Governance obsolete... or more essential than ever?

I’m looking forward to sitting down with Bruno Billy, President of APGAR North America, and Ken Brown, Head of Customer Success, to explore how AI is reshaping MDM and Data Governance, plus...

...how these disciplines influence the success of AI itself.

From practical examples of AI-augmented governance to rethinking stewardship roles and making MDM truly AI-ready, we will unpack how leading organizations are using AI to strengthen their data foundations, not replace them.

WHEN: Dec 11 at 8 AM PT | 11 AM ET | 4 PM GMT
WHERE: Here on LinkedIn and LightsOnData YouTube channel

More details in the comments.

#datagovernance #AI #MDM

how is AI reinventing MDM and data governance

Tomorrow I’ll be at the Big Data & Analytics West Summit, and there’s something I’m genuinely looking forward to:

I love conversations that bring clarity to where data and AI are headed next, and IBM is putting a spotlight on a topic I care deeply about:
 👉 How organizations can build reliable AI by strengthening their enterprise data foundation.

A major highlight for me will be hearing Paul Zikopoulos share practical lessons and thoughtful perspectives on:
✅ Preparing enterprise data for agentic AI applications
✅ Combining retrieval approaches to improve AI reliability
✅ Real-world strategies for scaling trusted AI across teams 

Paul consistently brings insights that elevate how we think about data and AI, and I’m excited to learn from his session.

These are the kinds of insights I’m excited to learn from, explore, and share.
And of course the discussions, networking, and the exhibitor lounge where there’s always something new to discover.

You can explore the agenda here: https://lnkd.in/gkDXmrnq

If you’re attending #BDW2025, please let me know as I’d be happy to connect.
You’ll find me capturing moments throughout the day, and yes, I’ll also be hanging out at IBM’s booth as their #ibmpartner for the event.

#data #IBMCanada

IBM Big Data Analytics West George Firican

Oh wow, what a day!
Excited to have been part of the Big Data Analytics West Summit in Vancouver as an #ibmpartner for the event.

Grateful for the energizing discussions and sessions, especially the great session on preparing enterprise data for AI from Paul Zikopoulos (VP, IBM Technology Sales).

It was great catching up with fellow data professionals and having a day of learning.
Thank you again IBM! 

#AI #IBMCanada #data

What are the biggest misconceptions business leaders still have about AI?

I sat down with Stijn (Stan) Christiaens, Co-founder of Collibra, at Data Citizens to unpack what AI readiness really means for organizations. 

Here are 5 takeaways from our chat:

1. Many leaders still see AI as “a chat in the cloud.”
2. Organizations need the right foundations around AI
3. AI ready data requires more than quality
4. Unstructured data is no longer optional
5. Unified governance is becoming essential

If you want a clear picture of what it truly takes to prepare your organization for AI, this interview delivers.
Full conversation in the video below.

Until next time, let’s keep putting the Lights On Data.
-George Firican

#data #datagovernance #AI

I took a photo of my latte this morning.
A simple image…
Completely unstructured, yet full of information if you know how to look at it.

Here is the interesting part…
Unstructured data is everywhere in our organizations:
- Images
- Screenshots
- Videos
- PDFs
- Logs
- Messages

All of them packed with value
But without metadata, that value stays hidden.

Metadata tells us:
- Who created the content
- When it was captured
- What it represents
- How it should be used
- Where it fits in our ecosystem

Suddenly an image is not just an image.
It becomes
- Searchable
- Discoverable
- Reliable

This is why unstructured data is such a huge opportunity.
The insights are already there.
Metadata is what turns those insights into something we can trust and act on.

Curious to hear from you:
Where do you see the biggest metadata gaps today?
- Search
- Ownership
- Retention
- Context
- Priority
Or something else entirely

Let’s keep putting the Lights On Data and its Metadata!
-George Firican 

#data #metadata #dataquality

Why are we still managing data on week-long cycles while our AI expects answers every second? 
As a data management professional, that mismatch is the bottleneck I see most often. That is why I’m paying attention to Acceldata’s Agentic Data Management.

Here’s what stood out to me after watching some of their demos:
✅ Natural language use to diagnose data quality issue AND trigger the proper fixes
✅ Autonomous agents that observe, reason, and act across your data pipelines, lineage & policies
✅ Dynamic and context aware governance that interprets regulations and applies controls to the right data
✅ A reasoning layer (xLake Architecture) that turns metadata into business meaning
✅ Learns from incidents so issues don’t repeat

If you are exploring how to make data AI ready, this is worth a look. Start here and tell me what you think of the agent driven workflow:
https://lnkd.in/gVwUQQwy

Question for you: where do you lose more time today:
1. Detection or 
2. Resolution?

Let’s keep putting the Lights On Data!

#datamanagement #AI #partner

Every December I look ahead… and this year, one prediction feels very safe:

I'll be attending Subsurface Live on December 10, coffee in hand, curious about how Agentic AI and open lakehouse patterns will shape 2026.

The agenda lines up well with questions many of us are exploring right now:
➡️ How will agent-based execution reshape data workflows?
➡️ What signals are emerging around performance, formats and multi-cloud patterns?
➡️ Where is the Apache Iceberg ecosystem pushing innovation next?

For anyone designing data systems or planning next-year priorities, this feels like a valuable moment to absorb ideas and future direction.

Registration is free: https://lnkd.in/gmDPiaES
Where: Virtual
Date: Dec 10, 2025 
Time: 8AM - 2PM PT / 4PM - 10PM GMT / 5PM - 11PM CET

See you there!

#data #AI

As organizations deploy AI, how should master data management and data governance programs evolve, or be reinvented, to stay relevant?

Join George Firican and Bruno Billy, President of APGAR North America, and Ken Brown, Head of Customer Success as they will explore how MDM and Data Governance are being redefined for a world shaped by machine learning, generative models, and data products.  
Drawing on APGAR’s experience helping organizations define, build, and run their enterprise data programs, Bruno and Ken will share how AI is transforming the purpose and practice of master data management and data governance.
Tune in to hear how leading organizations are using AI to strengthen their MDM and Data Governance foundations. And why these disciplines could be even more important than before.

#datagovernance #AI #MDM

How Is AI reinventing MDM and Data Governance?

Wavicle Data Solutions

Lead Data Engineer

LinkedIn

LinkedIn Learning Instructor

Globant

Senior Data Engineer

CRISIL Limited

Senior Analyst - Data Engineer

Quantiphi

Data Engineer

Tata Consultancy Services

System Engineer

Assistant System Engineer

Assistant System Engineer - Trainee

InsideSherpa

KPMG Data Analytics Consulting Virtual Internship

Monisha Enterprises

•	Data mining and Extraction Transformation Loading using R programming.
•	Data cleaning and processing for Data analysis done using Python using NumPy, pandas, SciPy, Scikit. Data modelling and prediction was done using algorithms – Logistic Regression, Time Series Forecasting, Clustering and Classification.
•	Data Visualization done using Tableau for generating reports to enhance the productivity of the products.
•	Built a Data Warehouse on MSSQL Server for ERP System of the enterprise to organize the data for future processing.

Data Analyst Intern

Open to Collaborate | Storyteller | Lead Data Engineer@Wavicle| Linkedin Top Voice 2024 | Globant | Linkedin Learning Instructor | 2xGCP & AWS Certified | LICAP'2022

Data Engineer with 7+ years of experience working on data engineering, analysis, and modelling projects for various domains, such as banking, healthcare, sales, and e-commerce. I leverage my strong statistical and analytical ability to explore business ideas and provide innovative solutions. 

Skilled with technologies and strong intellect with enthusiasm as an avid learner with challenging opportunities. I’m working as a LinkedIn Learning Instructor to bring change as a data evangelist.

Post Graduated in Master of Technology in Data Science and Engineering from Birla Institute of Technology and Science, Pilani in 2023, where I learned advanced concepts and techniques in data science and engineering, machine learning, cloud computing, and visualization. 

I hold multiple certifications in GCP, AWS, and Azure, and I enjoy working with cloud technologies and big data platforms.

I am passionate about data science and women empowerment, and I have been recognized as the 
- Linkedin Top Voice 2024 
- Data Science and Women Empowerment Thought Leader by Global AI Hub. 

I am also a proud participant of the LinkedIn Creator Accelerator Program 2022, where I share my insights and experiences with the data science community. 

I am open to collaborate and share ideas, or explore various opportunities in the data field.

Pooja Jain

73% of data pipeline failures happen because of dependency issues, not bad code.
Cron jobs don't care if yesterday's data never arrived. They'll happily run on empty tables and produce garbage.

Airflow? It checks, retries, alerts, and refuses to cascade your failure downstream.

→ Beyond scheduling Airflow gives an important feature of 𝗗𝗔𝗚𝘀(𝗗𝗶𝗿𝗲𝗰𝘁 𝗔𝗰𝘆𝗰𝗹𝗶𝗰 𝗚𝗿𝗮𝗽𝗵𝘀), that helps to monitor, retry and gives flexibility to organize pipelines with minimum/less code.

🤔 Data Engineers often misinterpret Airflow just as an orchestration tool.

Apache Airflow is an open-source platform designed to programmatically author, schedule, retry and monitor workflows. 

🎼Think of it as the "conductor of an orchestra", where each musician (your data tasks, like data extraction, transformation, loading, or model training) knows when to play, what to play, and what happens if they make a mistake.

Most data engineers automate the wrong things at the wrong time.

Here's the framework I use after 8 years of building production systems:
✅ AUTOMATE WHEN: 
→ Task runs daily/weekly 
→ Human errors cause outages 
→ Work blocks other priorities
→ Team growth = more manual work
Examples: Reports, schema checks, alerts

❌ DON'T AUTOMATE WHEN: 
→ Task happens quarterly 
→ Requirements change weekly 
→ Process isn't understood yet 
→ Manual steps reveal insights

My rule: If it’s done 3+ times, script it; 10+ times, automate it; fails 5+ times, redesign it.
Automate what matters, when it matters—not everything!

Airflow isn’t just about running tasks.

🕑 It’s about building trustworthy, scalable, and observable pipelines that run reliably at 2am — even when you’re not watching.

Airflow gives structure to your chaos.
DAGs give clarity to your pipelines. 
That’s why DEs love them ❤️

Real Example: 
Instead of: 
❌ Cron jobs that fail silently 
❌ Manual dependency management
❌ No visibility into failures
You get: 
✅ Visual workflow monitoring 
✅ Automatic failure notifications
✅ Smart task scheduling 
✅ Easy debugging & restarting

Here's an amazing Airflow cheatsheet with some fundamentals concepts and interview questions to prepare for data engineers. 👇

Carousel Credits -  Futurense.com

Willing to learn more, here's the link to Astronomer free learning path - https://lnkd.in/g8-EWBda

Also, level up with Marc Lamberti's Udemy course on Airflow 3 - https://lnkd.in/gwArwaME

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The Battle

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