5 Udemy Courses That Build Your Data Engineering Career (+1 Bonus) скачать в хорошем качестве

5 Udemy Courses That Build Your Data Engineering Career (+1 Bonus)

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