Whenever you're ready, walk me through how you'd approach this.
How do you optimize data processing pipelines for high-volume datasets?
Describe a practical approach covering ingestion, partitioning, parallel processing, storage formats, incremental loading, orchestration, and data quality. Explain how you would identify bottlenecks, handle failures and late data, support backfills, and monitor throughput, latency, cost, and correctness.