• Created component to give users the ability to self-diagnose registration errors to my team’s service, potentially saving new customers an hour during registration and greatly reducing ticketing load• Developed feature to allow customers to verify our service’s connection to user created AWS resources without having to run full workflow to discover integration errors• Wrote documentation to improve the on-boarding process for future engineers of the team

• Migrated dealer data from legacy cloud storage platform to AWS storage to use QuickSight instead of Tableau as a Business Intelligence tool• Created data pipelines from Snowflake to Google BigQuery and vice versa using SnapLogic• Utilized SageMaker to create custom data transformations in DataWrangler to upload data to Feature Store• Won 2nd place at Cat hackathon for connecting a frontend and backend for LSTM neural network to identifytrends of company revenue versus chosen… Show more • Migrated dealer data from legacy cloud storage platform to AWS storage to use QuickSight instead of Tableau as a Business Intelligence tool• Created data pipelines from Snowflake to Google BigQuery and vice versa using SnapLogic• Utilized SageMaker to create custom data transformations in DataWrangler to upload data to Feature Store• Won 2nd place at Cat hackathon for connecting a frontend and backend for LSTM neural network to identifytrends of company revenue versus chosen indicators Show less