At McKesson, I deliver production features across frontend applications, backend services, and APIs for clinical platform modules. I improved clinical data ingestion workflows, reducing bad-record escalations by 40% through validation, normalization, and actionable error reporting.
I also maintain scheduled jobs and background processing, with careful handling of retries, duplicate processing, time zones, and business calendars. This work cut failed-run incidents by 35%, while my PostgreSQL and SQL work supports historical reporting and audit trails.
Previously, at Pearson, I developed features and data pipelines for digital learning platforms. Earlier, at Stealth Mode Startup, I worked on an e-commerce analytics platform, including RESTful APIs, ETL pipelines, and database performance improvements.
