• Developed Python and SQL-based data pipelines to automate extraction, aggregation, and distribution of trading data, improving processing efficiency.

• Built reconciliation scripts to compare external trade files with internal positions, integrating automated alerts to proactively identify discrepancies and enhance data accuracy.

• Integrated third-party modules (CG3) for capital haircut calculations, implementing robust validation and error handling to ensure system stability and regulatory compliance.

Built solutions to improve performance, reliability, scalability, and security for our backend systems

Revamped and scaled the production environment by transforming monolithic codebase from R into a microservice-based architecture in Python using RESTful APIs, resulting in a 40% increase in system scalability

• Improved application performance and reliability for a leading e-commerce client by implementing a dynamic data validation and scoring system via REST APIs

• Conducted code reviews and enforced coding standards, resulting in lower defect rates across multiple releases