Your question is Discuss a Python Data Pipeline Project. 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).
Describe a project you worked on where you used Python for data engineering, and explain the key decisions you made.
Cover the pipeline's source systems, ingestion and transformation approach, orchestration, storage or serving layer, and the reasons behind your technology choices. Explain how you handled data quality, failures, reruns, performance, monitoring, and any trade-offs between maintainability, cost, latency, and correctness.
