Audit & current-state map
We embed for a week, talk to the people running the pipelines today, and document what actually breaks at 3am — not what the architecture diagram claims.
AT A GLANCE
Scale you can plan a roadmap around.
Concrete capabilities — not aspirational positioning. Each number reflects systems we've designed to operate, not slide-deck targets.
- 10M+Rows / day at peak load
- 1M+Vectors indexed in production
- 99.9%Pipeline uptime SLO
- 8 wksKickoff to first model in production
THE PIPELINE
From source to serving, with the boring parts done.
Five stages, observable end-to-end. Every edge has a contract, every node has a runbook.
- SourceYour operational systems, CDC streams, third-party APIs.
- IngestBatch + streaming, schema contracts, idempotent retries.
- LakeBronze → Silver → Gold tiers on Databricks, Iceberg, Delta.
- VectorEmbeddings + vector stores, drift-monitored.
- ServeAnalytics + model serving — alerts that matter.
HOW WE OPERATE
Architecture before code. Cost before scope.
Most data work fails at the design stage. We spend the first weeks making sure the architecture is right and the bill is predictable.
Design with a cost model
Architecture proposal with a real cloud-bill estimate up front. We've watched too many lakehouses double-bill from a missed partition; we cost the thing before we build it.
Incremental delivery
We ship pipelines in slices, with shadow runs against your existing system. Cutover is boring and reversible — no big bang.
Operate, then transfer
We sit on-call with your team for the first weeks of production traffic, fix the things that surface, and document them. Then we leave.