I built a free, open-source collection of 320 hands-on SQL, Python, Pandas & PySpark exercises
Hey everyone!
I’ve been working on a collection of hands-on Data Engineering exercises for technical interview preparation and self-study.
I recently decided to make the whole project public, hoping it might be useful to others preparing for interviews or looking to improve their practical skills.
Here’s what’s included:
80 SQL exercises (PostgreSQL)
80 Python exercises
80 Pandas exercises
80 PySpark exercises
Realistic sample datasets
Jupyter notebooks with questions and reference solutions
Validation and correctness checks
Setup instructions, including Java requirements for PySpark
The exercises cover topics like joins, aggregations, window functions, data transformations, data cleaning, and handling edge cases.
Everything runs locally, and I’ve included setup instructions in the README to help people get started.
GitHub: https://github.com/kursad-can/data-engineering-interview-practice
The repository is completely free and MIT-licensed. No signup, no paywall, and no paid content.
I’m sharing it because I know how much time interview preparation can take, and I hope it saves someone else a bit of that effort.
It’s my first time sharing this project publicly, so I’d genuinely appreciate any feedback, suggestions, or bug reports.
Hope it helps, and happy learning!