A free, structured path from SQL fundamentals to production Spark, Kafka, and lakehouse systems — taught with real code and real production experience, not theory. Read, run the examples, and check yourself as you go.
Every lesson is free, no signup, no paywall. Learn at your own pace.
Real datasets, runnable code, and exercises with answers in every lesson.
Written by an engineer running pipelines at hundreds of millions of events a day.
What data engineering is, the modern data stack, and how the pieces fit together.
The language every data engineer lives in. Interactive playground coming soon.
From pandas to your first ETL script. Interactive runner coming soon.
How to structure data so it stays fast, correct, and cheap to query.
PySpark from fundamentals to the tuning that keeps production jobs fast.
Event streaming fundamentals and the failure modes that bite in production.
Open table formats that bring warehouse reliability to the data lake.
Scheduling, dependencies, and turning raw data into trusted models.
Run it all on the cloud and build a real end-to-end pipeline.
Yes — every lesson is completely free, with no signup, paywall, or credit card required. The full path from SQL to Spark, Kafka, and lakehouse systems is open to everyone. We keep it free because it builds trust and, when you're ready to hire, connects you to the SolutionGigs marketplace.
No. The path starts with SQL and Python fundamentals and assumes no prior data engineering knowledge. If you can use a computer and are willing to run the examples, you can start at Lesson 1 today.
Follow the tracks top to bottom — they're sequenced so each builds on the last: SQL and Python first, then modeling, batch (Spark), streaming (Kafka), and lakehouse formats. You can jump around, but the order is designed to take you from zero to production-ready.
There's no certificate yet — the focus is on genuinely learning the skills and building real projects you can show, which matters far more to employers and clients than a completion badge.
SQL, Python for data, data modeling and warehousing, Apache Spark, Apache Kafka, and open lakehouse table formats like Apache Iceberg and Delta Lake — plus how they run on the cloud (AWS, EMR).
When you're ready to ship a production pipeline, get matched with a vetted data engineer who's built exactly this.
Post a project — it's free →