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Regulatory Data ETL Pipeline with Dynamic Schema Handling
A medium Pipeline Design mock interview question on DataDriven. Practice with AI-powered feedback, real code execution, and a hire/no-hire decision.
- Domain
- Pipeline Design
- Difficulty
- medium
- Seniority
- senior
Interview Prompt
We receive transaction reporting data from tens of thousands of regulated firms under MiFID II, and every firm formats their submission slightly differently. We need a pipeline that can ingest these files, normalize them to a canonical schema, validate them against regulatory rules, and produce an immutable record that auditors can query years later. Build it end-to-end and explain how you handle files whose structure changes without advance notice.
How This Interview Works
- Read the vague prompt (just like a real interview)
- Ask clarifying questions to the AI interviewer
- Write your pipeline design solution with real code execution
- Get instant feedback and a hire/no-hire decision