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Level up from “pipeline builder” to “senior engineer.” In this video I share the 7 books that actually changed how I design systems, ship stable data products, and interview with confidence. Each pick comes with one takeaway, one field exercise, and one interview line you can use tomorrow.
Want the Reading Tracker and Governance Card template? Check the pinned comment.
What you’ll learn
Systems trade-offs you can explain in one sentence
Data product SLOs and quality checks that leadership cares about
Dimensional modeling decisions that prevent double counts
SQL plan fluency that cuts p95 from seconds to milliseconds
Maintainability habits that kill “one-off” nightmares
Governance that makes AI safe, auditable, and fundable
Storytelling that gets your work adopted
Resources (Books)
Designing Data-Intensive Applications — Martin Kleppmann
https://amzn.to/45QIzci
Fundamentals of Data Engineering — Joe Reis, Matt Housley
https://amzn.to/4lMN3Xh
The Data Warehouse Toolkit — Ralph Kimball, Margy Ross
https://amzn.to/45Sd0yH
SQL Performance Explained — Markus Winand
https://amzn.to/4lOy1QK
The Pragmatic Programmer — Andrew Hunt, David Thomas
https://amzn.to/47eXsaz
Data Governance — John Ladley
https://amzn.to/4myGcBZ
Storytelling With Data — Cole Nussbaumer Knaflic
https://amzn.to/4lH98pZ
Resources (Udemy courses to pair with your reading)
• The Complete SQL Bootcamp: Go from Zero to Hero — Jose Portilla
https://click.linksynergy.com/deeplink?id=WuIlwt/6f6I&mid=39197&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fthe-complete-sql-bootcamp%2F%3FcouponCode%3DPMNVD1525
• Taming Big Data with Apache Spark 4 and Python - Hands On!
https://click.linksynergy.com/deeplink?id=WuIlwt/6f6I&mid=39197&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Ftaming-big-data-with-apache-spark-hands-on%2F%3FcouponCode%3DKEEPLEARNING
• The Complete Hands-On Introduction to Apache Airflow 3 — Marc Lamberti
https://click.linksynergy.com/deeplink?id=WuIlwt/6f6I&mid=39197&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fthe-complete-hands-on-course-to-master-apache-airflow%2F%3FcouponCode%3DPMNVD1525
How to use this video
For each chapter you read, complete two hands-on labs from the paired course. Reading plus reps beats passive reading every time.
Chapters:
00:00 – Introduction & Why These Books Matter
00:41 – About the Presenter
00:54 – Book 1: Designing Data-Intensive Applications
01:48 – Book 2: Fundamentals of Data Engineering
02:46 – Book 3: The Data Warehouse Toolkit
03:34 – Book 4: SQL Performance Explained
04:25 – Book 5: The Pragmatic Programmer
05:10 – Book 6: Data Governance
06:39 – Book 7: Storytelling with Data
07:26 – Bonus: Top Udemy Courses for Data Engineers
09:11 – 8-Week Data Engineering Roadmap
09:58 – Final Thoughts & Next Steps
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What you’ll learn:
• The 7 best books for data engineers (with summa
Chris Gambill is a data engineering consultant and educator with 25+ years of experience helping organizations modernize their data stacks. As founder of Gambill Data, he specializes in data strategy, cloud migration, and building resilient analytics platforms for mid-market and enterprise clients. He’s passionate about making real-world data engineering accessible.
Connect with Chris on LinkedIn or learn more at gambilldata.com.
