Industries / Healthcare
We build HIPAA-compliant data pipelines, warehouses, and cloud infrastructure for multi-site hospital networks, clinical operations teams, and healthcare IT departments.
The problem
EHR systems, billing platforms, lab information systems, and scheduling tools were never designed to share data. Finance and clinical operations end up working from different numbers, reconciling spreadsheets instead of making decisions.
The weekly operational report takes days to produce manually. By the time it reaches leadership, the data is stale. Staffing decisions, supply chain orders, and quality metrics are all based on numbers that no longer reflect reality.
HIPAA compliance adds a layer of complexity that most general-purpose data engineering teams are not equipped for. PHI handling, audit logging, encryption at rest and in transit, and access controls are not optional.
Production ELT pipelines connecting Epic, Cerner, and other EHR systems via FHIR R4 APIs and legacy HL7 feeds into a unified data warehouse. Rate limit handling, schema drift detection, and PHI controls built in from day one.
AWS, GCP, or Azure environments built for compliance audits. Encryption at rest and in transit, CloudTrail logging across all regions, least-privilege IAM, VPC segmentation, and documented evidence for every control.
Unified data marts serving finance, clinical operations, and quality teams from the same source of truth. Dashboards that refresh in hours, not days. Self-service analytics your team can extend without engineering support.
Every engagement ends with your team running the system. Documented failure modes, incident playbooks, monitoring dashboards, and a 90-day support window so nothing breaks after we leave.
Case Study
Reporting lag reduced from four days to four hours. Finance and clinical operations running from the same source of truth for the first time.
Read case study →Case Study
Passed compliance audit three months after handover. 31 compliance gaps identified and remediated. Full Terraform handover to client IT team.
Read case study →Data Infrastructure
Cloud Engineering
Data Infrastructure
Data Infrastructure