The Data Engineering Channel

As we move into November and a season of thankfulness, I want to take a moment to thank everyone for watching, especially our newest Channel Members and part of our "Data Nerds" community!

Thank you ‪@KingKong-df6cm‬ , ‪@ruxanas5795‬ , and ‪@Jagel13‬ !

Remember Members get early access to videos, access to members only videos, faster response times to comments and more as we continue to grow!

To become a member click the "Join" button and select the level!

1 day ago (edited) | [YT] | 10

The Data Engineering Channel

Another community member lands a Data Engineering job!

From Sandbagger:
"thanks to everything I’ve learned from your videos, I’ve landed a remote Databricks Data Engineering role, which I’ll be starting on Monday!...
your content played a major role in helping me build the skills and confidence to make it happen. What really sets your work apart is how production-focused and value-driven it is — instead of just showing how to use tools, you teach how to solve real-world problems. I truly appreciate the time and effort you put into creating such clear, high-quality content."

Congratulations Sandbagger and we can't wait to hear about your new job!

5 days ago | [YT] | 32

The Data Engineering Channel

Tools Change. Real-World Experience Doesn’t.

I was talking with one of my mentees recently, and he said something that stuck with me:

“The tools will change. What’s most valuable is the way you explain the real-world scenarios, what actually happens out there.”

He’s right. After 25 years in data engineering, I forget how much of what I know isn’t in any course or tutorial. You can learn syntax anywhere. What you can’t learn from a course is judgment, how to think through problems when the data doesn’t cooperate.

Like choosing the right matching rules. Figuring out which data you can actually trust. Knowing when to tell a stakeholder, “The data says something different than what you expect.”

That’s what comes from time in the field, seeing what breaks and what holds up in production. It’s also what I try to pass on through my mentorship and my videos.

💬 What’s something you’ve learned on the job that no tutorial ever covered?

5 days ago | [YT] | 13

The Data Engineering Channel

Data Engineers, ready to become the AI MVP at your company?



In my latest video, I'm laying out a roadmap to become a 10x Data Engineer, focusing on the skills that make AI truly work. It's not just about knowing the latest algorithms; it's about building the robust data foundations that AI depends on.



We're diving into five key steps:

1️⃣ Own the Data Ingestion Pipeline: Stop being a bottleneck, and start building pipelines that are scalable, reliable, and adaptable.
2️⃣ Architect Smart Storage: Learn how to design data lakes and warehouses that are optimized for AI workloads.
3️⃣ Master Feature Engineering: Feature engineering is the secret sauce to make data usable for models.
4️⃣ Champion Governance and Ethics: Data governance is not just a compliance requirement; it's fundamental for building trustworthy AI systems.
5️⃣ Align Pipelines with Business Outcomes: Connect your work directly to business value, and watch your impact soar.



These steps aren't just theoretical; they're the practical skills you need to bridge the gap between AI hype and real-world results.



Want to unlock your potential and become a 10x Data Engineer? Watch the full video for all the details

6 days ago | [YT] | 6

The Data Engineering Channel

For those of you that are starting a tech channel or interested in starting one, I'm starting a new channel where I'll be sharing my monetization journey here and what I learned.

Don't worry I'll still be doing my normal Data Engineering content here. But there have been a few people reach out about starting a channel, so for the same no-BS direction check it out here: youtube.com/@GambillYouTubeJourney

1 week ago | [YT] | 1

The Data Engineering Channel

🚨 DEAL ALERT: Don't Get Left Behind in the AI Revolution 🚨
If you haven't started learning AI yet, the gap is widening every day. The good news? You can close it fast.


Udemy is running a massive sale October 28th-30th with up to

85% off AI courses – everything from beginner fundamentals to advanced machine learning.


Whether you're looking to:
✅ Understand how AI impacts data engineering
✅ Build your first AI models
✅ Stay competitive in the job market
✅ Future-proof your career
...this is your chance to invest in yourself at a fraction of the cost.
👉 Grab your courses here: trk.udemy.com/c/6541910/3327325/39854
Pro tip: Don't just buy one course and let it sit. Pick 2-3 that align with your goals, block time on your calendar, and commit to finishing them. Knowledge without action is just entertainment.
What AI skill are you learning next? Drop it in the comments! 👇

1 week ago | [YT] | 9

The Data Engineering Channel

Ever wondered if you're ready to level up your data career? 🤔

A lot of folks ask me about the differences between Data Analysts, Analytics Engineers, and Data Engineers, and when's the right time to make a jump.



In this video, we break down each role, their responsibilities in the data lifecycle, and the key mindsets that set them apart.



We cover:
The Data Analyst as the Storyteller, aligning data to business decisions.
The Analytics Engineer as the Standardizer, ensuring consistent metrics.
The Data Engineer as the Pipeline Builder, making sure the data flows reliably.
Plus, we dive into practical interview questions, exercises, and resources to help you prepare for that next step. We even talk about how to avoid falling into the "Unicorn" trap – trying to be everything to everyone!



Whether you're just starting out or looking to specialize, understanding these roles is crucial for owning the data narrative in your organization.



Ready to unlock the secrets to career progression in data? Check out the full video for a comprehensive guide:

1 week ago | [YT] | 7

The Data Engineering Channel

Stop Babying Beginners. Start Them On Databricks.

Beginners do not need a toy stack.
They need production patterns.

Databricks forces the right muscles early.
SQL at scale. Delta reliability. Unity Catalog permissions. MLflow habits.

You learn faster when the guardrails match real teams.
You build confidence by shipping for real.

Full argument here:
👉 medium.com/@chris.gambill_28508/use-databricks-to-…

Question: If you were starting today, which workload would you build first in two sprints?

1 week ago | [YT] | 18

The Data Engineering Channel

🚨 DEAL ALERT: Prepare for Your Future 🚨
The future of work is changing fast – and the best investment you can make is in yourself.
Udemy is running their "Prepare for Your Future" sale with up to 85% off ALL online courses from October 22nd-24th.


This isn't just AI courses – this is EVERYTHING:
✅ Data Engineering & Analytics
✅ Cloud Certifications (Azure, AWS, Snowflake)
✅ Python, SQL, and Programming
✅ AI & Machine Learning
✅ Business Intelligence & Visualization
✅ Leadership & Communication Skills


If you are seeing this then you're leveling up your technical skills, pivoting careers, and filling knowledge gaps so take advantage of this sale to take your learning into overdrive!


👉 Browse the sale here: trk.udemy.com/c/6541910/3323053/39854?sharedid=GDa…


Pro Advice: Don't hoard courses. Pick 1-2 that solve your biggest skill gap RIGHT NOW, schedule the time to complete them, and actually finish before buying more.
What skill are you investing in this week? Let me know which one you picked below!

1 week ago | [YT] | 8

The Data Engineering Channel

I hear it all the time: “Databricks is too advanced for beginners.”

That’s just not true. Databricks isn’t too complex, it’s misunderstood.
You don’t have to master Spark or Delta first. Start small. Load a CSV. Build one simple flow.
You’ll be amazed how quickly the pieces click once you see it in action.

🎥 Check out my Getting Started with Databricks playlist here:
👉 www.youtube.com/playlist?list...

What’s the first thing you’d build if you were starting in Databricks today? 👇

1 week ago | [YT] | 19