**Projects**: (1) Event streaming—10M+ events/day; Kafka, Flink, ClickHouse; real-time dashboards; (2) Data mesh—domain-oriented products, ownership, SLAs; (3) dbt layer—modular SQL, tests, docs.
**Contribution**: Event schema design; exactly-once semantics; monitoring. Data mesh standards for discoverability. Python, Spark, dbt....
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 Altimetrik. The answer also includes follow-up discussion points that interviewers commonly explore.
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