Professional history, projects, and skill context.

Builds clinical registry data infrastructure for institute reporting, data quality review, and governed Snowflake modeling.

• Develops a metadata-driven registry platform that ingests clinical quality files from SharePoint into Azure Blob Storage, preprocesses them, stages them to Snowflake, and models bronze, silver, and gold layers.
• Supports registry data such as NCDR, STS, AHA Get With The Guidelines, ELSO ECMO, VQI, and related cardiopulmonary quality sources.
• Builds validation, lineage, audit, schema-drift, file-parity, row-parity, null-check, cardinality, and reconciliation workflows for data engineers, architects, analysts, and institute stakeholders.
• Creates Streamlit review tools, metadata manifests, schema documentation, Snowflake SQL models, UDFs, and local CLI workflows for controlled review and release.

Built analytics, AI-assisted editorial tools, executive reporting, and audience data products across a large media portfolio.

• Helped build Omnilytics, a Next.js executive analytics surface that centralized curated Looker reporting for C-suite, SVPs, editors, and senior analysts across Penske brands.
• Built and maintained Azure-hosted RAG and ChatGPT-style editorial tooling with a Next.js frontend, Flask API backend, Cosmos DB, Azure AI Search, OCR, Microsoft Graph API, and Bicep deployment scripts.
• Built audience and advertising pipelines using Treasure Data, BigQuery, Snowflake, GCP Cloud Functions, Google Analytics, Piano, Google Search Console, vendor APIs, Python, SQL, and Go.
• Interviewed editors, analysts, department heads, SVPs, the COO, and the CTO to identify workflow pain, prototype internal tools, QA dashboards, and simplify reporting and data products.

Converted client data requests into reusable data collection, enrichment, and reporting workflows.

• Collected public web data, normalized it into market-specific datasets, enriched records, and delivered lead lists and automated CSV reports for clients.
• Built reusable Python, SQL, Postgres, browser automation, Google Sheets API, GCP, and cron-driven pipelines with logging for repeated delivery.
• Translated one-off client requests into algorithmic processes that could be reused across similar markets and reporting needs.