Your question is Data Profiling 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 working on a new pipeline and want to understand the data before building transformations and downstream models. You need a practical way to inspect source quality, spot anomalies, and document what the data looks like over time.
What is your experience with data profiling techniques?