• Used Go and Python to build backend logic, parsing 1B+ data points for analytics and warehousing.

• Facilitated MongoDB driver migration using Go and NoSQL, upgrading 80+ files to use the latest driver.

• Crafted Go-based asset price retriever by capturing price snapshots from an API into a SQL table while also implementing a Redis caching mechanism, achieving a 30% reduction in processing time.

• Developed token listing process using TypeScript and GraphQL, leveraging CoinGecko's API for token information retrieval, resulting in a speedup in asset addition times to the platform.

• Built A-star search algorithm in Go to discover optimal trading paths across markets, boosting response times by 23%.

• Updated internal datastores by periodically extracting information from SQL database and transferring to an AWS S3 bucket. Scheduled tasks would then fetch from S3 and update local datasets, improving release efficiency by 10%.

• Crafted a Spring Boot job to automatically requeue dead letter queue items, saving 120+ developer hours in support calls and maintenance jobs.

• Implemented observability measures in Java to track duration and status of database/endpoint queries to publish monitoring information to Datadog and Splunk, reducing QA debugging time by 4%.

• Automated release branch deployments by creating Jenkins pipelines, thereby saving 100+ developer hours per year.

• Created client components using Angular.js to display transaction information on the admin tools portal.