Pipelines
Reliable jobs with alerting, not mystery cron.
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Services
Data platforms that operations can run.
Pipelines, lakes, and processing when the volume is real — with staffing for the engineers who have to live with it.
Data
Move, store, and use the firehose.
We help teams ingest, process, and serve large datasets without turning the first dashboard into a science project. That includes batch and streaming paths, governance that people will follow, and engineers who can explain a job failure at 7 a.m.
- Ingestion and processing at volume.
- Lake and warehouse patterns that match the questions you ask.
- Staffing for data engineers, not just a tool license.
Capabilities
Typical work
Storage
Lakes and warehouses sized to query patterns.
Serving
APIs and models downstream teams can consume.
Ops
Cost, freshness, and on-call that is documented.
How we engage
A named owner, a written plan, visible work.
Brief
We start with the system, the constraint, and what good looks like in 90 days.
Staff or build
Augment your team, stand up a pod, or take delivery with a named owner.
Work in your tools
Repositories, stand-ups, and environments you can inspect.
Review
Weekly slices you can demo. Status in writing.
Next step