**Section 1 — The Context (The 'Why')**
Pipeline failures and delays create cascading business impact: stale dashboards, missed SLAs, and downstream jobs blocked on unavailable data. A naive design—no retries, opaque dependencies, or manual runbooks—forces firefighting instead of self-healing. At Moonfare scale, fund data pipelines have strict regulatory windows; delays breach compliance....
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 Moonfare. The answer also includes follow-up discussion points that interviewers commonly explore.
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