• Consumer Trading

• Technologies Used: GoLang, GraphQL, gRPC, MongoDB, Snowflake

• Part of the API team that managed various REST API endpoints that directs traffic from mobile and web clients to internal backend services which forms an aggregation layer utilizing Java and Vert.x framework.

• Optimized downstream API calls to improve network traffic which reduced cloud costs by 20%.

• Reduced database storage space from excessive logging by 200,000,000 rows (12%) daily.

• Handled configuration changes for API endpoints to accelerate cloud migration process.

• Created Argus alerts to catch various data errors occurring within API calls.

• Technologies Used: Java, REST API's, Vert.x, Argus

• Architected and developed a monitoring alert system in Java that automates the data validation process in sales forecasting, increasing the efficiency by 90%.

• Created a new database layer utilizing PL/SQL procedures for handling critical forecasting metadata.

• Constructed a unit testing suite utilizing JUnit and Mockito to ensure correctness of application.

• Utilized Argus metrics to send Slack alerts for when bad data exists.

• Technologies Used: Java, SQL, Argus

• Improved data extraction process efficiency by 90% for applications supporting revenue cycle reports.

• Created dynamic SQL stored procedures to extract and consolidate report usage across 20 hospitals.

• Implemented PowerShell scripts to create weekly jobs that automate data retrieval.

• Utilized Excel and PowerBI to develop reports that illustrate revenue cycle trends for the previous year.

• Technologies Used: SQL, Excel, PowerBI, PowerShell

• Developed a Blockchain prototype in GoLang to generate Merkle proofs on the Ethereum blockchain for music datasets.

• Wrote PostgreSQL queries to extract and serialize data from a database used as blueprints for Merkle tree leaves.

• Utilized Go-Ethereum, Solidity, and a Smart Contracts platform that stores mappings between data and root hashes.

• Implemented an end-to-end UI mechanism to validate rights data in Merkle roots against contracts on the blockchain.

• Technologies Used: Go, PostgreSQL, Solidity, Blockchain