Practice Data Engineering like real work.
Practice real data engineering scenarios, get feedback, and build interview-ready judgment across SQL, PySpark, Airflow, AWS, and production debugging.
Built by Data with Pranjal
Product preview
Practice loopBroken problem
Pipeline rerun doubled revenue
User attempt
Write the fix
Feedback
Check the answer
Model answer
Learn the interview framing
132+
Practice scenarios
SQL, pipelines, incidents, and interview cases
SQL + PySpark
Hands-on labs
Browser-first practice without backend-heavy infra
Production
Debugging mindset
Broken logic, logs, trade-offs, and monitoring
Free
Starter labs
Begin with guided practice before upgrading
Why normal courses are not enough
Interviews test judgment, not only syntax.
Real data engineering work means debugging late data, broken joins, retries, schema drift, orchestration gaps, and dashboard mismatches. The Data Foundry turns those situations into daily practice instead of passive watching.
How it works
Step 1
Pick your goal
Tell us your stage, target, available time, and timeline.
Step 2
Solve a real scenario
Start with a free lab using realistic data and broken logic.
Step 3
Get feedback
Run checks and see what is correct, missing, or risky.
Step 4
Explain like an interview
Practice root cause, fix, trade-offs, and monitoring.
Step 5
Track progress
Use the dashboard to continue the next recommended lab.
Try before signup
Solve one free production SQL lab without creating an account.
Inspect sample data, submit a corrected query, compare actual versus expected output, and get feedback. Signup is only suggested after your first attempt.
Core Labs
A platform for practice, simulation, and job readiness.
SQL Lab
Debug query logic, grain issues, NULL traps, CDC, rankings, and warehouse outputs.
PySpark Lab
Practice performance, partitioning, UDF replacement, skew, and DataFrame reasoning.
System Design Studio
Design data platforms, defend architecture trade-offs, and practice interview framing.
Scenario Playground
Work through production-style incidents with broken logic, logs, data, hints, and feedback.
Who it is for
Free vs Premium
Free
Start with selected SQL and production scenarios, hints, validation, and progress tracking.
Premium
Unlock the full library, deeper debugging labs, model answers, follow-ups, and advanced system design practice.
Broken Pipeline Lab
Practice real production failures, not PDF-style Q&A.
The new scenario lab includes MCQ diagnosis, broken SQL, PySpark fixes, log analysis, output mismatch debugging, hints, model answers, and interview-style evaluation.
See Scenario LibraryCreator trust
Built by Pranjal, creator of Data with Pranjal.
Practical Data Engineering content focused on real interviews, production problems, and career-switcher friendly explanations.
Creator
Built by Pranjal
Creator of Data with Pranjal, focused on practical Data Engineering preparation.
YouTube proof
Content-led learning
Placeholder for channel stats, walkthroughs, and public learner proof.
Learners
Community proof
Placeholder for student wins, testimonials, and cohort outcomes.