Most Data Engineers Learn These 5 Courses (You Should Too)
Ready to become a data engineer in 2025? These are the top Udemy courses I recommend for beginners who want to build real-world data skills: SQL, PySpark, Databricks, Airflow, Kafka, and even a bonus skill to keep you on the cutting-edge of your career!
I’ve hand-picked these based on impact, structure, and how directly they prepare you for enterprise-level projects and interview-ready skills. Follow them in order to go from beginner to professional data engineer, or skip ahead to strengthen specific skills.
🎓 Courses Mentioned in This Video
1️⃣ The Complete SQL Bootcamp
https://trk.udemy.com/QjkKO3
2️⃣ Databricks and PySpark for Big Data: From Zero to Expert
https://trk.udemy.com/RGeRR7
3️⃣ Databricks Certified Data Engineer Associate
https://trk.udemy.com/o4rnzY
4️⃣ The Complete Data Engineering Bootcamp with PySpark (2025)
https://trk.udemy.com/3J47dA
5️⃣ Data Engineering Vol. 2 AWS: Data Processing – Spark & Kafka
https://trk.udemy.com/194bRD
💡 Bonus: If you want to stay relevant in data engineering:
The AI Engineer Course 2025: Complete AI Engineer Bootcamp
https://trk.udemy.com/AP4KnK
💬 What You’ll Learn
SQL fundamentals and query optimization
PySpark and Databricks for scalable data processing
Data pipeline automation with Airflow
Real-time data streaming using Spark + Kafka
Cloud-based data architecture and AI integration
💼 For personalized mentorship and portfolio coaching, visit:
https://www.gambilldataengineering.co...
📢 Affiliate Disclosure
Some links in this description are affiliate links. That means if you purchase through them, I may earn a small commission — at no extra cost to you. Using these links directly supports this channel and helps me keep creating free resources for aspiring data engineers.
Chapters:
00:00 - Why Most Data Learners Get Stuck
00:27 - The Complete SQL Bootcamp: Your Foundation
01:08 - Essential SQL Project & Interview Question
01:54 - Python & Spark: Processing Big Data
02:54 - Databricks & Medallion Architecture
04:13 - Building Your First Data Lakehouse Pipeline
05:23 - Airflow & ETL: Automating Data Pipelines
06:36 - Real-Time Data & Portfolio Projects
07:36 - Bonus: Transitioning to AI Engineering
08:18 - Next Steps & More Resources