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Shuffleet
The gym for data engineers: train on real SQL & Spark
Practice the data engineering interview questions SQL puzzles don't cover: deduplication, incremental loads, MERGE, SCD2, late data. SQL & PySpark in your browser, graded automatically. Free.
Hi Product Hunt! 👋
I'm Cedric, and I built *Shuffleet*, the gym for data engineers.
Most data engineering practice happens in toy editors on made-up tables. Real interviews and real jobs look different. You write SQL against an actual engine, you reason about Spark, and you're judged on edge cases you didn't see coming.
So in Shuffleet, you train on the real thing:
🏋️ *Real engines.* Your SQL runs on Trino and your PySpark runs on Spark, in an isolated sandbox.
✅ *Hidden test cases.* Submissions are graded like in an interview, not only on the sample.
🤖 *An AI coach.* It gives hints when you're stuck and reviews your solution once you pass.
📈 *Guided plans and skill tracking.* Follow a plan at your own pace and see where you're getting stronger.
⏱️ *Interview mode.* Timed sessions so you can rehearse under pressure.
The core is free. *Pro* adds more coach help, PySpark, full history and premium problems and plans.
It's built for people preparing for a data engineering interview, and for anyone who wants to keep their SQL and Spark skills in shape.
I'd love your feedback: which problem should we add next, and what would make you come back every week? I'll be here all day answering. 🙌
👉 htts://shuffleet.com
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About Shuffleet on Product Hunt
“The gym for data engineers: train on real SQL & Spark ”
Shuffleet was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #63 on the daily leaderboard. Practice the data engineering interview questions SQL puzzles don't cover: deduplication, incremental loads, MERGE, SCD2, late data. SQL & PySpark in your browser, graded automatically. Free.
Shuffleet was featured in Education (79.4k followers), Developer Tools (521.7k followers) and Data & Analytics (5.9k followers) on Product Hunt. Together, these topics include over 129.7k products, making this a competitive space to launch in.
Who hunted Shuffleet?
Shuffleet was hunted by Cedric Koffeto. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Cedric Koffeto