**Section 1 — The Context (The 'Why')**
The Medallion architecture (Bronze/Silver/Gold) separates raw ingestion from curated and aggregated layers. The primary failure mode is transforming data in Bronze—once raw is mutated, replay from source becomes impossible. Another risk: skipping quality gates at Silver allows bad data to propagate to Gold, corrupting dashboards and ML models....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Puma. The answer also includes follow-up discussion points that interviewers commonly explore.
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