**Situation:** At [Company], we had to process 50TB daily from clickstream and events.
**Task:** Deliver analytics within 2 hours of data arrival, with 99.9% SLA.
**Action:** I designed a Spark pipeline with dynamic partitioning by user_id to reduce skew. Used Delta Lake for ACID and compaction. Tuned executor memory and shuffle partitions. Implemented incremental processing with watermark and dead-letter handling for bad records....
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