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Platform Modernization: Spearheaded the architectural shift of the Custom Form Styles (CFS) platform from a legacy QBO monolith to a scalable microservices architecture.
Massive Scale Migration: Orchestrated the seamless data migration of 7M+ customers from PostgreSQL to DynamoDB. Developed a robust data-sync pipeline to ensure 100% data parity during the transition.
System Resilience: Conducted extensive traffic analysis and load testing to ensure the new system could handle peak loads of 1,200 TPS, maintaining 99.9% availability for P0 business assets (Invoices, Estimates, etc.).
Operational Efficiency: Engineered an end-to-end RTB (Run the Business) automation suite using RAG-based internal tools, Jira Cloud automation, and Slack hooks, significantly reducing manual support overhead.
Customer Discovery: Conducted 30+ customer interviews for the MCI initiative.
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Led modernization of Floor Plan Corrector app, removing 250+ high-rated vulnerabilities
Ensured full compliance with InfoSec guidelines and KTLO stability
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Scalable Data Ingestion: Designed and deployed a high-scale pipeline for 38,000+ floor plans, feeding space data into ML models to optimize planning for 4,500+ stores.
Microservices Design: Led the design of 5/6 critical components for an enterprise ETL platform, achieving a 99% reduction in processing time across Walmart's global supply chain.
Data Integrity & Optimization: Implemented dynamic refresh, blueprint versioning, and real-time cleansing, elevating data accuracy to 95% and enabling efficient floor plan re-usability.
Strategic Placement Logic: Engineered comprehensive logic for proximity and adjacency validations across 70+ departments, providing decisive inputs to amplify ML model precision.
Business Impact: Achieved $225,000 immediate revenue savings from a single department, with projected annual savings of $3 million through automated assortment planning.
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Built Kafka Schema Registry with proper versioning and message identification