Data Engineering
Pipelines your business can bet on.
Data that arrives complete, on time, every time — moving from the systems you run to the places it creates value, without a weekly rescue mission.
What we build
- Pipelines and integrations, batch and streaming
- Connectors to the systems you actually run (databases, ERPs, CRMs, APIs)
- Reliability engineering: monitoring, retries, alerting, and clean backfills
- Cost-aware design — your bill should track your usage, not your vendor's ambitions
When teams come to us
- Reports assembled by hand every week
- Data that breaks silently and gets discovered downstream
- Every new question becoming an engineering ticket
How we build it
Map sources and consumers
where data lives, who needs it
Design for failure
retries, alerting, and clean backfills from day one
Ship incrementally
the highest-value flow first
Operate and tune
reliability and cost, reviewed like code
Works well with
FAQ
Batch or streaming?
The use case decides. Streaming everywhere is how bills explode.
Can you work with our legacy sources?
Old ERPs and odd APIs are our normal case, not the exception.
Who maintains it afterward?
Built to hand over: documentation, alerts, runbooks — or we operate it with you.