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Hardik Sehgal

Hardik Sehgal

Salesforce B2C Commerce (SFCC) Developer with 3+ years building SFRA storefronts and checkout flows. Experienced in ISML, SFCC controllers, OCAPI/SCAPI integrations, GA4 data layer, and PWA Kit/React UI delivery.

Talent
New DelhiMember since April 25, 2026
SFCCSFRAISMLBusiness ManagerPage DesignerOCAPI/SCAPICartridge ArchitectureHooksJavaScript (ES6+)ReactPWA KitHTML5CSS3SassNode.jsREST APIsWebhooksMochaNYCUnit TestingGitBitbucketJiraConfluencePostmanNPMAgileScrumMVCHeadless Commerce
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SFCCSFRAISMLBusiness ManagerPage Designer

About

Salesforce B2C Commerce (SFCC) Developer with 3+ years building SFRA storefronts and checkout flows. Experienced in ISML, SFCC controllers, OCAPI/SCAPI integrations, GA4 data layer, and PWA Kit/React UI delivery. Strong in performance optimization, test coverage (Mocha/NYC), and cross-functional collaboration in Agile teams.

Experience

Analyst at Deloitte USI (2022-12 – Present)

Checkout, Frontend & UX; Features, Personalisation & Integrations; Performance, Quality & Reliability

  • Refactored SFRA checkout and address flows using ISML and controllers, improving purchase reliability and reducing post-release issues by ~15–25%.
  • Delivered a UX-focused checkout redesign from Figma to production (ISML/JS/CSS), improving mobile responsiveness and reducing checkout friction by ~10–20%.
  • Built responsive storefront components using ISML, JavaScript, HTML/CSS, and React (PWA Kit), accelerating feature delivery and improving UI consistency across pages.
  • Improved login and signup flows, enhancing onboarding experience and reducing user friction at key entry points.
  • Implemented SFCC features such as newsletter sign-ups, in-store appointments, gifting flows, and event reminders, increasing engagement by ~10–20%.
  • Integrated third-party services and REST APIs for marketing, analytics, and product customization use cases, reducing manual workflows and improving data accuracy.
  • Implemented GA4 data layer and event tagging for checkout funnels, increasing analytics accuracy and attribution coverage by ~20–30%.
  • Strengthened error handling across critical user journeys, reducing production incidents by ~15–30%.
  • Increased unit test coverage to 80%+ using Mocha and NYC, improving release confidence and reducing regressions.
  • Worked with SFCC cartridges and Business Manager configurations to deliver modular, reusable storefront features.

Education

Master of Computer Applications in Computer Applications – IGNOU (2024)

Bachelor of Computer Applications in Computer Applications – GGSIPU (2019 – 2022)

Skills

SFCC controllersOCAPI/SCAPI integrationsGA4 data layerand PWA Kit/React UI delivery.

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