**Situation**: Near-real-time fraud detection needed sub-30-second latency. **Task**: Build streaming pipeline with exactly-once semantics. **Action**: Architecture: Kafka → Databricks Structured Streaming → Delta Lake; ML model scoring in streaming; alerts to operations. Implemented checkpointing for exactly-once; windowed aggregations for patterns. Challenges: Late data (watermarking), backpressure (auto-scaling, rate limiting). **Result**: Detection latency under 30 seconds; 99.9% uptime....
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