Experience

→ Build and maintain Python/SQL pipelines for high-volume financial datasets used by internal research and trading teams.

→ Develop data acquisition systems for market and alternative data, including web scrapers, validation, and schema normalization.

→ Monitor production jobs, resolve data incidents, and optimize schemas and query paths for reliability, latency, and throughput.

→ Built scheduled Apache Airflow ETL pipelines and event-driven AWS workflows with Lambda and EventBridge.

→ Developed a .NET workflow engine adopted by multiple internal applications for configurable automation.

→ Set up GitHub Actions CI/CD for deployments to a legacy BizTalk platform, reducing deployment time.

→ Built internal automation tooling across Salesforce, Slack, and Bash.

→ Removed repeated operational work and improved process efficiency for internal teams.

→ Built GraphQL APIs and reusable components for a merchant platform.

→ Worked with NestJS, Prisma, PostgreSQL, and Redis to improve performance and maintainability.

→ Built Selenium-based data collection tooling for large record sets.

→ Improved processing throughput with multithreading and deployed Airflow pipelines for retraining and data processing.