Added new feature requests and maintained old features on a data-analytics web application.

• Utilized Angular for large data display and grids.

• Optimized SQL and SQLAlchemy scripts for data manipulation.

Created architecture designs and technology decisions for a key piece of a new data pipeline’s ingestion process. Provided legacy product support while continuing the ongoing innovation project.

• 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.

Coordinated with cross-functional teams to identify needs for a new data pipeline platform utilizing AWS Batch.

• 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.

Coordinated across multiple teams for product testing per sprint.

• 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.