● Optimized API performance, reducing response time by over 90%, through strategic caching and vectorized data processing.

● Led the development of a borrowing base model using FastAPI, enabling ad-hoc API-triggered model execution and submission report generation. Integrated with Airflow for automated daily runs and utilized Keystone, Hartree's internal library (Modin with Ray engine), for scalable and efficient data processing.

● Built scalable data pipelines with Keystone and Python, integrating S3 for data sources and Athena for queryable outputs in ORC format. Designed Airflow-based workflows to automate and schedule pipeline execution, enhancing data accessibility and processing efficiency.

● Lead and coordinated end-to-end testing efforts across multiple project teams for data ingestion process

● Built RESTful APIs to retrieve product data using PostgreSQL and Spring JPA

● Utilized multiple observability and monitoring tools including, Splunk and Honeycomb, to maintain a 99%

availability of our APIs

● Developed a data intake process utilizing a host of AWS services including, State machines, lambdas,

event bridge and glue

● Demonstrated strong presentation skills to leadership teams, as well as leading demos in various product

showcases

● Developed several APIs utilizing GraphQL, allowing for precise fetching across numerous datasets

● Utilized pair and mob programming to mentor and coach technical teams members all while practicing agile

testing principles

● Onboarded two developers, providing both training and mentoring allowing for seamless integration into our

team

● Migrated legacy monolithic applications to cloud based RESTful APIs

● Lead a DevOps initiative, working to drive key metrics and improve overall team performance resulting in a

40% increase in total deployments

● Automated Unit, Integration, End-to-End, and Security Tests using JUnit and Cucumber

● Worked on an agile development process to maintain and enhance a data sourcing application using Java

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