Optimizing Workflows to Improve Data Reliability and Scale

At Amazon, I focused on improving operational workflows to make data more reliable and accessible for teams. I built automated systems using Python, SQL, and AI-assisted development to improve data accuracy across 300+ projects and reduce manual auditing. I also designed internal tools to surface performance insights, enabling teams to identify what was working and prioritize high-impact work.