Anil Motupalli is a software engineer with nine years of experience building scalable backend systems at Amazon and Microsoft, currently based in Seattle. He has delivered measurable impact—optimizing DynamoDB storage with TTL to cut costs by 70% (≈140 TB) and automating workflows that saved hundreds of hours for product teams. Comfortable across the stack, his background spans big data pipelines, distributed services, and automation from earlier roles at ADP and in university IT environments. With an MS in Computer Science from Arizona State University, he pairs academic rigor with hands-on operational experience managing clusters and scripting Linux automation. Driven by data-informed engineering, he’s transitioning toward data science while continuing to solve production-scale problems.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Technology (B.Tech.) Information Technology, Bachelor of Technology (B.Tech.) Information Technology at Sree Vidyanikethan Engineering College
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at Ira A. Fulton Schools of Engineering at Arizona State University
11th and 12th standard Mathematics Physics and Chemistry, 11th and 12th standard Mathematics Physics and Chemistry at Sri chaithanya junior college
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