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Industries

Regulated Industries, Production Results

A decade of building data platforms where compliance is not optional and downtime is not acceptable. Every industry has its constraints — I turn them into competitive advantages.

Healthcare & Life Sciences

HIPAA-Compliant Platforms That Scale

From claims processing to clinical analytics, I have built and operated data platforms that serve millions of patients while maintaining zero audit findings. Healthcare data is uniquely complex — PHI regulations, interoperability mandates (FHIR/HL7), and real-time clinical decision support requirements create constraints that most data teams treat as blockers. I treat them as architecture requirements.

12

Zero-finding audits

99.97%

Platform uptime

$18M

Cost savings

HIPAA / GDPR compliant data architecture
EHR integration and FHIR pipeline engineering
Claims processing and revenue cycle analytics
Clinical decision support systems
Patient journey analytics and cohort analysis
Automated compliance evidence generation

Jio Health Head of Data

Scaled platform from 3 to 50 engineers, $18M in operational savings, 12 consecutive zero-finding audits.

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Pharmaceutical & Biotech

Analytics That Accelerate Drug Distribution

Pharmaceutical organizations generate enormous volumes of data across clinical trials, manufacturing, distribution, and post-market surveillance. The challenge is not volume — it is trust. Regulatory submissions require absolute data provenance, and commercial analytics require speed. I bridge that gap with governed pipelines that serve both compliance teams and commercial analysts from the same source of truth.

15%

Sales increase

50%

Faster reporting

8

Markets unified

Cross-market distribution analytics
Sales force optimization and territory modeling
Supply chain visibility and demand forecasting
Regulatory submission data pipelines
Multi-market data consolidation
Executive decision support dashboards

POC Pharma Analytics Engineer

Unified analytics across Vietnam and Indonesia, 15% sales increase attributed to data-driven distribution.

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Enterprise & Technology

Data Infrastructure That Compounds

Enterprise data challenges are organizational as much as they are technical. Shadow IT data silos, competing dashboards that show different numbers, and ML initiatives that stall because the data foundation is not trusted. I specialize in the structural work that makes everything else possible: governed data platforms, clear ownership models, and infrastructure that gets cheaper to operate as it scales.

75%

Infra cost reduction

70%

Faster deployments

50+

Automated pipelines

Enterprise data platform architecture
Cloud migration strategy and execution
ML platform engineering and MLOps
Data mesh and domain-oriented architecture
Cost optimization (cloud and on-prem)
Executive data literacy programs

SimonDatalab Platform Architect

Self-hosted analytics platform on bare metal — 75% cost reduction vs. managed cloud, 100+ API endpoints.

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Operating in a regulated industry?

I have built compliant data platforms across healthcare, pharma, and enterprise — let's discuss what it takes in yours.