Modified and deployed internet-scale Python microservices using FastAPI for REST, asyncio for concurrency, and pytest for unit testing.

Helped rewrite the caching layer to use Google Cloud Spanner instead of Redis in preparation for adding a second datacenter.

Ensured a smooth cutover of the caching layer by identifying and filling gaps in our migration plan and testing it in our staging environment.

Fixed customer-facing issues in an ETL pipeline which loads music metadata from millions of XML files into MongoDB, MySQL, Oracle, and SQL Server.

Took ownership of the system that exports databases for the automotive SDK after completing the migration from PL/SQL and Perl to C# and PowerShell.

Wrote a Terraform module to persist and reattach EBS volumes in order to migrate our online music lookup service to AWS.

Set up Grafana for the above systems, including data from Prometheus.

Led a team of 4 engineers to migrate automotive exports to GitLab CI/CD.

Created a self-service EC2 launch template for our machine learning engineer with data preprocessed in AWS Lambda.

Tested a Hive process in Amazon EMR to optimize instance fleet parameters.

Ported a library for populating internet radio stations to NumPy, making it twice as fast as the C code due to vectorization.

Worked on Concourse, an open-source CI system written in Golang where every step runs in a Docker container.

Worked on the REST API and simplified the PostgreSQL database schema.

Configured the deployment using Cloud Foundry on Kubernetes.

Followed an “extreme” agile methodology with pair programming and test-driven development.

Proposed and completed a 6000-line refactor of the job scheduler to eliminate 30% of all SQL queries and fix concurrency bugs.

Added the OAuth 2 implicit grant flow to the Microsoft identity platform (a large C# codebase).