Your question is Data Validation in ETL Pipelines. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You're building or maintaining ETL pipelines and want a clear approach for validating data before it reaches downstream tables. The goal is to catch bad records, schema issues, and business rule violations early, without blocking every load unnecessarily.
What strategies do you use for data validation in ETL processes?