Improved 15 million+ rows of complex PostgreSQL data accuracy by utilizing advanced SQL queries

Automated data analysis tool reducing manual effort by enabling faster identification of carbon emission patterns

Implemented CI/CD pipelines on GitHub Actions, streamlining workflows and reducing deployment time

Designed customer journey interaction group mappings using the PostgreSQL database

Built GraphQL APIs to receive focused customer requests and smaller payloads

Architected request-response interactions between customer and database using the RabbitMQ server

Solved n+1 query and reduced query processing time using GraphQL Dataloaders

Minimized PostgreSQL overhead by processing multiple jobs/sec

Improved debug time by 40% constructing process to trigger 3rd party service integrations via AWS Lamda