Walmart Global Tech India · Feb 2022 — Present
Customer-facing product systems at retail scale
Checkout and post-purchase experiences, analytics data integrity, and engineering automation for Walmart US product flows.
Context
Customer-facing checkout and post-purchase flows operate at significant scale and require reliable product behaviour, trustworthy analytics, and efficient validation workflows.
Approach
Contribute to checkout and thank-you experiences, strengthen behavioural and product-usage data integrity, and integrate Jenkins CI/CD with SauceLabs-based automated testing.
Outcome
Supported customer-facing Walmart US product experiences while improving the reliability of analytics and development validation. Confidential implementation details are intentionally omitted.
What it taught me
Large-scale product engineering depends as much on reliable data and repeatable validation as it does on the visible interface.