Data Engineering
Public government data pipelines with citation enforcement. Every claim traces back to a named source row.
What we do
We build the pipelines, warehouses, and citation layers needed for cited intelligence. Public government data, internal records, or both. Every claim downstream of the warehouse traces back to a named source row. Same pattern used to power five AiGNITE products.
What we ship
- ETL pipeline scripts in Python or TypeScript, run on a schedule
- Vector index with embeddings and citation metadata for retrieval
- Database schema, migrations, and seed scripts checked into your repo
- Source-traceability report covering the first 100 production queries
What an engagement looks like
Four to eight weeks. You name the data sources and the first downstream query. AiGNITE builds the ingestion, normalization, and retrieval layers. We hand off with runbooks, on-call notes, and a thirty-day stabilization window.
What we will not do
- Migrations of multi-petabyte enterprise warehouses
- Engagements where citation enforcement is treated as optional
- Pipelines with no defined downstream consumer or success metric
Ready to start?
Book a 20-minute call. We map the work, name the deliverable, and quote a fixed price.
Talk to Nuwan