Data Throughput Accelerator helps an agent speed up large data ingestion, backfills, exports, ETL, warehouse loading, manifest catch-up, and table synchronization while preserving data correctness. It walks through separating bottlenecks across source extraction, network transfer, warehouse loading, transforms, and live tail growth. It provides heuristics like moving compute to the data, using manifests, batching writes, and maintaining idempotency, and concludes with a structured accounting output block.