01The problem
Tens of millions of records needed deduplication and suppression before use.
02What we built
A data engine that deduplicates and suppresses across a 56.8-million-row dataset, partitioned for throughput.
03The result
Clean, usable data produced from a raw multi-million-row source.
04Capabilities demonstrated
Presented honestly at its true evidence level. Sensitive internals, client-identifying detail, and proprietary logic are deliberately withheld.