Regulated Data Platform & ML Pipeline
HIPAA-aligned analytics and model delivery for a national care network
The Challenge
Siloed patient and operational data slowing cohort analysis
Strict BAAs and regional residency requirements for model training data
Manual handoffs between data science and platform teams
Need for lineage, access reviews, and reproducible training runs
Our Solution
Built a lakehouse-style platform with encryption, KMS, and network isolation by tier
Implemented MLOps with experiment tracking, model registry, and promotion gates
Automated de-identification pipelines with validation checks and sampling
Integrated RBAC with existing IdP and break-glass procedures for analysts
Documented control matrix for internal compliance and external audits
Measurable Impact
Faster
Approved analysts could run governed queries without bespoke extracts
More repeatable
Promotions from staging to production followed a checklist and audit trail
Improved
Fewer ad-hoc copies of sensitive data outside approved stores
Smoother
Clinical, data, and security stakeholders shared a single roadmap
"We needed science velocity inside a regulated box. The platform team delivered both—without cutting corners on patient privacy."
Technology stack
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