Lead engineer on data pipelines, APIs, and full-stack applications supporting asset management, financial planning, and analytics. Built a Dagster-orchestrated pipeline into an ingestion layer that stores raw time-series data in AWS S3, improving data integrity and enabling rapid reprocessing through a custom Python processing library. Built a React/Django/Postgres web app for data visualization, workflows, and event-driven site issue tracking. Regularly collaborate with business leaders to refine features, integrate enterprise apps (Salesforce, Netsuite, Workday), and deliver fast reliable software solutions.

Contributed to high-impact infrastructure and new product initiatives across a large, complex codebase. Worked with teams on data pipelines, deployment systems, and frontend improvements to support reliability and scale.

Developed new APIs and microservices for a mobile app using ML to analyze athlete performance. Built personalized content endpoints, real-time and delayed notification services via Azure Service Bus, and an endpoint to universally authenticate internal requests. Strengthened reliability with Moq/Xunit testing and collaborated in an agile team using Azure DevOps for version control, CI/CD, and sprint planning.

Directed a distributed team of developers to deliver a React web app integrated with Salesforce CRM, enabling role-based event scheduling for client users. Oversaw sprint planning, documentation, and cross-time-zone communication through Notion and organized client meetings to ensure clear alignment and timely delivery.