Data Engineering for Healthcare & Hospitals

Warehouse spend runs away silently. We instrument cost per pipeline from the start, so an expensive query is visible in a day rather than a quarter.

In healthcare & hospitals, clinical safety and patient privacy mean nothing ships without human oversight and a complete audit trail. That single fact reshapes how data engineering has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is appointment scheduling and reminders, usually integrated against EMR and EHR. Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move.

Multi-model by default, so a provider outage is a routing decision rather than an incident. You own the code, the models where they are open-weight, and the documentation to run it without us.