**Situation**: E-commerce analytics pipeline processing 50TB daily faced 24h batch latency; stakeholders demanded near-real-time dashboards. **Task**: Lead migration from legacy Hadoop to Spark on EMR while maintaining zero data loss and improving SLA from 24h to sub-4h. **Action**: (1) Architected Spark-structured streaming with Kafka for incremental ingestion; (2) Implemented Delta Lake for ACID and upserts; (3) Tuned partitions, broadcast joins, AQE; (4) Established monitoring and runbooks....
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