Utilized Angular for large data display and grids.

Optimized SQL and SQLAlchemy scripts for data manipulation.

Architected piece of middleware for new data pipelines collaborating with cross functional team of 6+ people.

Team finalized design decisions, planned work tickets, and created full diagrams that eased review and subsequent approval by company architecture guild.

Automated Jupyter notebooks for a Data Science users to run in the cloud with for unified customer approach.

Drafted and built a file-ingestion system using AWS Lambda to reduce overall runtimes.

Streamlined data pipeline management around mapping by creating access to stored values for manual changes and reading by automated runs.

Drafted test case plans and regression scripts for deployments.

Expedited feedback turnaround for data QA by creating an automated but flexible approach to review work with scripts using Pandas and Jupyter Notebooks.