TRACK RECORD

Built it. Scaled it. Running in production.

The data monetization platform I built generates $7M+ in annual revenue, processes 4.8 billion de-identified records, and delivers to 50+ clients automatically. Here's how it came together.

$7M+ Data Monetization Platform

Architected and built the entire data monetization infrastructure — from raw data transformation through expert determination and Datavant tokenization to automated client delivery on Snowflake and AWS.

Stage 1
Turning Raw Data into Revenue-Ready Assets

Designed and built data transformation pipelines that process billions of clinical claims records, turning raw upstream data into clean, compliant datasets ready for monetization.

Stage 2
Privacy-First Data Linking at Scale

Implemented secure Datavant tokenization across 4.8 billion records, enabling cross-organization analytics while maintaining full HIPAA compliance through expert determination.

Stage 3
Automating Delivery to Save 40+ Hours/Month

Built Airflow-orchestrated pipelines on AWS that replaced manual data delivery processes, enabling daily secure transfers to 50+ clients with zero manual intervention.

$7M+ Annual Revenue
4.8B Records Processed
50+ Client Deliveries
40+ Hours Saved/Month
TECHNICAL EXPERTISE
Snowflake AWS (S3, Lambda, MWAA) Airflow Python Terraform Datavant
PRIOR LEADERSHIP

Director of Engineering — Nimble Solutions

Before building the data monetization platform, I led a 16-person engineering department across the US and India. I was hand-picked by the CIO, led technology due diligence for 4 acquisitions, traveled to Hyderabad to integrate an acquired dev team, and built enterprise systems that transformed business operations. That experience is why I build things that work at scale — not prototypes, not proofs of concept, but production systems that run reliably.

This is what I build.

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