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A senior engineer joins a public fintech with 412 DAGs from four years of accumulation: 80 mission-c

A medium Pipeline Design interview practice problem on DataDriven. Write and execute real pipeline design code with instant grading.

Domain
Pipeline Design
Difficulty
medium

Problem

A senior engineer joins a public fintech with 412 DAGs from four years of accumulation: 80 mission-critical with no contracts, 332 orphans with no identifiable consumers, custom Python every ingestion path, one Airflow owning every DAG. The CTO wants both a target architecture and a deprecation plan. Apply the entire advanced tier: shared layers with named contracts, every undercurrent visible as tooling, split orchestrators at team boundaries, managed ingestion for commodity SaaS, and a deprecation queue tracked in the catalog.

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Solve this Pipeline Design problem with real code execution. DataDriven runs your solution and grades it automatically.

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