Led modernization of data reporting by implementing a Tableau frontend, reducing codebase by 85% and accelerating data processing by over 70%. Directed a modernization task force delivering 25% of regulatory reports to the new framework within one quarter. Authored a Python/PySpark library to trim future code by up to 90% if adopted. Advocated agile/SDLC best practices, cutting deployment times by 50% in the first month. Eliminated 200k+ lines of legacy code, reducing tech debt by over 70%. Built and tested a multi-endpoint Spring Boot REST API to generate custom SQL across 1000 tables from four data sources (S3 and Redshift). Served as point of contact for compliance remediation and documentation. Refactored API for a 60% performance improvement in a single sprint. Built and maintained CI/CD pipelines in GitLab with Terraform for deploying Docker assets on AWS. Completed a 10-week full-stack training project with an end-to-end data management app and responsive UI.

Data Engineering Intern at Booz Allen Hamilton

May 1, 2022 - August 1, 2022

Prototyped a cloud-based infrastructure monitoring plan for climate-change emergency response with potential to secure >$1B in federal contracts. Architected an ETL data dashboard on ArcGIS; advised on infrastructure alignment for emergency response across 750 miles of federal highway across eight agencies.

Artificial Intelligence Research Assistant at Penn State, College of Information Science and Technology

May 1, 2019 - November 1, 2019

Generated baseline data and over 6 million clean, unique features for a peer-reviewed paper, pioneering a novel unsupervised clustering algorithm.