• Developed data ingestion system enabling real-time monitoring and analysis of Remora’s carbon capture processes

• 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

• Developed content intelligence application’s core backend

• 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