Pradyumna Parsai

Software Engineer III at Walmart | IIT Ropar

Bengaluru, Karnataka, India

About

I’m a full stack SDE III at Walmart Global Tech with 4+ years of experience building scalable distributed systems, microservices, and cloud-native applications. Delivered multi million dollar business impact through high-impact backend architecture, cross cloud data pipelines, and end to end feature ownership across React Native and Spring Boot.

Experience

  • Walmart Global Tech India (Bengaluru, Karnataka, India · On-site)
    • Software Engineer III
      Sep 2024 - Present · 1 yr 10 mos

      • Delivered end-to-end features, spanning frontend and backend creating direct impact to associates work. • Owned and released multiple frontend versions to chain with zero production issues. • Built reusable components improving efficiency and consistency across the platform. • Proactively resolved critical production issues within hours, minimizing business impact. • Expanded scope from frontend specialist to full-stack contributions, strengthening ownership across the stack.

    • Software Engineer II
      Jun 2022 - Aug 2024 · 2 yrs 3 mos

      • Enhanced operational efficiency by implementing essential frontend features that simplified daily operations across over 650+ Sam’s Clubs. • Built frontend & backend automation scripts, improving testing efficiency and coverage. • Fixed critical bugs, optimized APIs, and improved code quality. • Modernized UI with reusable components and migration to functional components. • Strengthened release quality with pre-release validation, end-to-end testing, and production support.

  • SDE Intern at Walmart Global Tech India
    May 2021 - Nov 2021 · 7 mos

    • Developed Krypton, an in-house Spark ETL wrapper, reducing manual job writing effort through modularized, production-ready boilerplate code. • Accelerated job development time from 4 days to 1 day by streamlining Spark job creation. • Optimized job processing efficiency, cutting execution time from 5–6 min to 30 sec by reducing jar size. • Unified separate Stream/Batch codebases into a single codebase supporting multiple modes. • Integrated Spark Metric Listeners with Grafana/Prometheus, enabling seamless monitoring without manual setup, and improved test coverage through JUnit testing.