- Built (PySpark, SQL) ETLs to de-identify, standardize, and calculate fields for 100s of millions of medical claims.- Identified/investigated (AWS Athena) and solved (PySpark, SQL) dozens of data quality issues.- Developed, tested (unittest), deployed (AWS EC2, SSM) module for decrypting 25GB files with limited memory.- Configured/scheduled (Apache Airflow) and troubleshooted (Python, AWS EMR) over a dozen data pipelines.- Authored (Python, Mac shell scripts) tooling for investigating pipeline failures (AWS EMR, S3), automated AWS Athena queries, pipeline generation, quick repo navigation (VS Code Tasks), and pytest results analysis.- Trained 8 team members, including managers, on Python, shell commands, and internal platform specifics.- Refactored 204 lines of duplicated ETL code (Boto3) and replaced with a reusable context manager.

Coordinated timelines, prioritization, brainstorming, requirement-setting, and client communication for 9+ data management projects and 11 team members.

- Built, tested, documented, and deployed (SQL Server) revenue recognition system for 1M+ customers.- Analyzed and matched (Pandas in JupyterLab) 100K records from multiple sources without unique keys.- Visualized ICD-10 diagnoses and causes of 5K+ revenue-losing trips in Power BI.

- Reported (Pandas, Matplotlib) correlation between customer schedules, product data, and ground truth.- Investigated (Pandas) anomalies in 50% of production data and visualized (Matplotlib) actionable solutions.- Pioneered ground truth collection, determining where to collect, coordinating socially-distanced site visits, and creating tooling for collection (HTML, Javascript) and reporting (Pandas, Matplotlib in JupyterLab).- Facilitated $600K contract renewal, demonstrating use cases/ROI and educating team about client's priorities.

- Wrote briefings for the Chancellor’s meetings with community leaders and legislators.- Drafted letters to be reviewed and sent by the Chancellor.

- Monitored and sent thousands of alerts for events on 150+ clients' networks.- Trained, led four-member team in debugging VM deployment scripts, standardizing procedure for network alarm analysis, and automating wiki platform migration.- Identified 30+ functionality/usability issues with internal platform and reported in detail to development team.- Integrated policies, tools, and reference documents for 50 clients during merger.

- Wrote SQL and PowerShell scripts to automate API calls and database storage.- Matched (PowerShell and C#) 140K physician records to CMS' NPI dataset using names and contact info.- Researched customers’ facilities and needs to predict product utilization.