Résumé

Reporting to the CEO, built and led a 26-person org spanning product engineering, platform engineering, QA, IT, and Salesforce analysts

Co-owned the BI stack (Snowflake + Fivetran + Sigma) with VP of Finance; moved executive reporting to self-serve dashboards and established source-of-truth metrics

Implemented Salesforce Omnichannel routing; measured a 35% productivity lift

Hands-on contributor averaging 2–5 production PRs per week: built Python ETL for claims data into Salesforce and Snowflake, automating reconciliation and enabling claims funnel measurement

Transformed a waterfall-in-disguise team into a high-agency agile org that shipped against customer pain points in days, not quarters

Drove 99%+ uptime, moved releases from quarterly to bi-weekly, and consolidated backend services for 30% lower cloud spend

Insourced key IT functions to improve reliability, security posture, and data governance

Reporting to the COO, owned the EHR web app and data infrastructure using Python and React; led a cross-functional team of engineers and data scientists across NY and EU

Built acquisition-to-enrollment funnel (Rudderstack, GA4, Tableau), instrumented events, and ran A/B tests to improve conversion

Built claims processing pipeline managing $1.5M per year enabling a two-person team; maintained industry-leading 74% collections rate

Shipped data integrations (Abbott, Dexcom, SureScripts) to improve clinical decision-making

Migrated Python ETLs to Fivetran and dbt SQL on Redshift, enabling faster iteration

Maintained comprehensive company-wide reporting on all business aspects using Looker, driving data-informed decision-making supporting $35 million Series A

Engineered AWS EMR + PySpark pipeline to process one million LinkedIn profiles daily

Trained ensemble model to standardize employer names across the full universe of LinkedIn profiles

Designed 45 TB data lake housing NYSE exchange data augmented with internally developed indicators