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 loopReal scenario
Understand what went wrong
Read a clear business problem and inspect the available evidence.
Your attempt
Diagnose and solve the problem
Apply Data Engineering concepts to propose a practical solution.
Guided feedback
See what you got right and missed
Get validation, rubric scoring, hints, and missing production considerations.
Production insight
Learn how engineers explain the solution
Understand the root cause, safe fix, trade-offs, monitoring, and interview framing.
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Practice questions
Coding labs, production scenarios, platform decisions, and system design cases
Data Engineering
Complete practice platform
SQL, Python, PySpark, Airflow, AWS, system design, and production debugging
Production
Debugging mindset
Broken logic, logs, trade-offs, data quality, and monitoring
134+
Free practice questions
Start guided practice before choosing a premium plan
Core Labs
A platform for practice, simulation, and job readiness.
Scenario Playground
Diagnose broken pipelines, inspect data and logs, fix the issue, and learn how to explain your decision in an interview.
SQL Lab
Debug query logic, grain issues, NULL traps, CDC, rankings, and warehouse outputs.
Python Lab
Practice data engineering Python with lists, dictionaries, files, JSON, CSV parsing, and ETL-style logic.
PySpark Lab
Practice performance, partitioning, UDF replacement, skew, and DataFrame reasoning.
Airflow Lab
Diagnose retries, sensors, DAG dependencies, scheduler delays, backfills, and operational failures.
AWS/Data Platform Lab
Choose AWS services through storage, security, compute, streaming, governance, and cost incidents.
System Design Studio
Design data platforms, defend architecture trade-offs, and practice interview framing.
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.
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.