Sachin Sharma

Client Walmart Delivered an enhancement to the International Price Service to support Quebec Bill 72 compliance, integrating MaxMind DB and Google Maps API to implement accurate store-location and tax metadata validation for the Canadian market. Removed and refactored unreliable postal code validation logic for the Chile market, improving data correctness and reducing edge-case inconsistencies in international pricing flows. Prepared existing microservices for migration to a Unified Location Service (Mexico, Chile, Canada) by isolating country-specific validation logic and improving configuration-driven extensibility.

Led the architectural modernization of Risk360 benchmarking modules, transitioning monolithic logic into high-performance Spring Boot microservices and scalable REST APIs. Architected a mission-critical migration of core orchestration workflows from Airflow to Python + Temporal, significantly improving system reliability, state management, and fault tolerance for partner strategy updates. Engineered high-throughput data pipelines using the Temporal Go SDK, ensuring the performance and reliability of large-scale security data processing systems. Spearheaded the transition from Hive-based queries to a Trino-backed unified SQL architecture, reducing query latency by 40% and ensuring consistency across downstream analytics. Enhanced platform observability and reliability by implementing E2E Datadog instrumentation and event-driven workflows (Kafka/SQS), resulting in faster incident response and increased test coverage via JUnit and Pytest. Pioneered AI-driven innovation by developing an LLM-powered RAG (Retrieval-Augmented Generation) chatbot prototype for Risk360, utilizing document embeddings to automate complex security and compliance queries. Drove UI modernization strategy for a React 16 to 18 migration, performing deep dependency and scope analysis to future-proof the front-end architecture.

Architected and scaled the Partner Onboarding Platform for Walmart Connect, leveraging Java, Spring Boot, and Azure SQL to streamline advertiser integration and drive revenue growth. Engineered high-performance data pipelines using Kafka Streams and Azure Service Bus, implementing custom DLQ strategies and intermediate topic routing to ensure 100% message reliability and fault tolerance. Modernized critical AdTech reporting systems by integrating GCP BigQuery with legacy APIs, enabling real-time analytical insights and high-scale data consumption for business stakeholders. Led a strategic technical migration of core services to Spring Boot 3 and JDK 17, resolving complex security vulnerabilities and optimizing system performance across the Walmart Ad ecosystem. Collaborated with Data Science teams to re-platform experimentation tools from TypeScript/JS to Java/Spring Boot, improving maintainability and execution speed for ad-serving simulations. Pioneered internal AI productivity tools by building a RAG-based developer platform using Python, FastAPI, and Milvus (Vector DB) to automate API documentation mapping and cURL generation. Optimized distributed search and catalog services using Elasticsearch and Cassandra, supporting real-time item display and campaign management for millions of SKU updates.

• Designed and implemented backend services using Java and Spring Boot to track customer subscription lifecycles, improving transparency and reducing customer support tickets through clearer subscription state visibility. • Executed a one-time, all-or-nothing migration of ~350k live subscriptions to Shopify using Python/FastAPI, React, JavaScript, TypeScript, Material UI, and Redux, enforcing strong consistency, idempotent retries, and global rollback to prevent billing errors and ensure accurate customer transitions. • Partnered with Customer Support to provide rapid root-cause analysis and production support, ensuring SLA adherence and a seamless user experience.

• Developed a VM allocation microservice and dashboard (Java, Spring Boot, MySQL, Docker) to streamline infrastructure provisioning and improve resource utilization. • Built and maintained backend services in C#/.NET supporting manufacturing and equipment data systems, focusing on performance, reliability, and clean object-oriented design. • Designed and implemented custom Jira and Confluence plugins using Java on the backend and embedded Vue.js as a modular frontend layer, integrating Vue instances within plugin modules to enhance collaboration and workflow automation. • Engineered internal dashboards and workflow tools using Laravel (PHP) and Vue.js/Vuex, providing real-time visibility into manufacturing KPIs and experiment build management. • Designed a large-scale file search and log analysis tool using Go (Gin), ELK Stack, Docker, and React/TypeScript, enabling efficient indexing and retrieval across distributed datasets. • Integrated AWS SNS and CloudWatch for real-time build log monitoring and alerting, improving operational visibility and proactive issue detection.

Designed and built a serial ID generation and management system(Java, Spring Boot, Elasticsearch ,AWS EC2/S3/SNS/SQS, and React 16) for Viome health kits, issuing and tracking 1M+ unique identifiers with admin-configurable prefixes and kit-type semantics to support manufacturing and fulfillment workflows. Enabled fast operational search and visibility of issued identifiers by integrating Elasticsearch-based indexing, supporting queries by prefix, kit type, and issuance state. Deployed application on Amazon EKS Service ( Orchestration) to ensure scalability/reliable performance.

Engineered high-impact e-commerce storefront features for a leading Korean fashion brand on Salesforce Commerce Cloud (Demandware), enabling scalable customer experiences aligned with global retail standards. Leveraged server-side JavaScript and ISML templating to deliver dynamic product pages, navigation, and business logic, accelerating feature deployment and reducing time-to-market. Built responsive UI components with HTML5 and CSS3, significantly improving site performance and visual consistency across devices for high-traffic fashion retail audiences.

• Built REST apps with Java/Spring Boot, Spring Data, and MySQL for transaction tracking. • Optimized backend systems through performance tuning and debugging.

• Developed REST APIs with MEAN stack (MongoDB, Express, AngularJS, Node.js) and Java. • Migrated SAP MDM into MarkLogic using XQuery/XPath, and built productivity tools with MarkLogic, HTML, AngularJS, and jQuery. • Maintained legacy apps in Spring MVC, Hibernate, and Ext JS, ensuring business continuity.