COO Technology, Reference Data Management Application
COO Technology, Global Data Master Platform
•Own end-to-end backend workflow orchestration using Python and Shell, building data pipelines that eliminate race conditions and reduce failure rates by 80% across 5+ teams
•Build distributed ETL pipelines using Python and SQL to transform and validate 1M+ financial records daily, implementing quality checks that improve reliability by 25%, saving risk teams 6+ hours weekly in manual work
•Design and optimize 50+ relational data models using SQL to improve query performance by 15% and enable scalability for downstream ETL workflows and same-day reporting for the analytics teams
•Automate secure SFTP data ingestion and CI/CD pipelines using Git, UrbanCode Deploy, and Jenkins within a Scrum framework across the full SDLC, reducing deployment overhead by 30% and onboarding 3 partner teams
Implement a comprehensive monitoring suite with SLA alerting, unit and integration tests, and 95%+ code coverage, eliminating quarterly customer-impacting outages and ensuring regression-free releases
•Conduct issue triage, code reviews using Git, and debug production issues within Linux through log analysis, providing root cause analysis for business partners, and executing production fixes via Vim and Makefiles
•Document technical architecture, runbooks, and troubleshooting guides for 20+ data pipelines, reducing onboarding time for new members by 50% and improving incident response times
•Coordinate with QA, database, and infrastructure teams across 10+ production releases to implement schema changes, enforce data validation rules, and execute zero-downtime deployments through phased rollouts
