I design and implement enterprise data infrastructure and serve as a technical evaluator for the engineering organization. Beyond core platform contributions, I helped foster a high-performing engineering culture—frequently cited as the team's greatest strength—by leading technical screens and championing the candidates who ultimately built our team.
Key Impact
Enterprise Data API: Engineered and productionized a high-scale GraphQL API utilizing Python, Poetry, and Docker. This serves as the core data layer for the company’s financial productivity suite, supporting both internal operations and external consumers.
Strategic Data Architecture: Architected reporting marts and optimized production pipelines using Prefect, Airbyte, dbt, and AWS Redshift, successfully migrating legacy warehouse systems into modern, cloud-native architectures.
Tax Documentation Pipeline: Built an event-driven tax documentation pipeline integrating a primary Django application with AWS Lambda triggers, automating the secure auditing of over $50M in tax credits.
Reliability & Mentorship: Drive rigorous standards for code quality through architectural reviews and Datadog/Prefect monitoring, ensuring high uptime for business-critical financial reporting.
Strategic Recruitment & Personnel: Entrusted to lead technical screens and pair-programming interviews for Senior and Principal roles; provided the hiring recommendations that directly built the current personnel structure and collaborative environment.