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Walmart Global Tech India · Feb 2022 — Aug 15, 2026

Customer-facing product systems at retail scale

Checkout and post-purchase experiences, analytics data integrity, and engineering automation for Walmart US product flows.

Product engineeringAnalytics integrationCI/CD automation
01

Case note · Situation

The condition

Customer-facing checkout and post-purchase flows operate at significant scale and require reliable product behaviour, trustworthy analytics, and efficient validation workflows.

Scope: Retail product systems at scale

02

Case note · Contribution

What I worked on

Contributed to checkout and thank-you experiences, strengthened behavioural and product-usage data integrity, and integrated Jenkins CI/CD with SauceLabs-based automated testing.

Proprietary implementation details are intentionally omitted.

03

Case note · Result

Outcome and carry-forward

Supported customer-facing Walmart US product experiences while improving the reliability of analytics and development validation.

Large-scale product engineering depends as much on reliable data and repeatable validation as it does on the visible interface.
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