Retail Execution Data Engineer at Procter & Gamble, AMA (Asia Pacific, Middle East, and Africa)

Led, designed, and developed scalable Data and DevOps pipelines for Retail Execution projects across AMA markets. Designed a configurable KPI engine powering data-driven in-store Retail Execution strategies. Redesigned ETL/ELT workflows and optimized cloud infrastructure, cutting annual costs by USD 70,000, improving pipeline runtimes by 30%, and enabling faster, more reliable data delivery to end users. Served as Technical Lead and Scrum Master, translating business requirements into scalable data solutions, including data models, ETL/ELT pipelines, and API integrations while driving Agile and DevOps best practices. Collaborated cross-functionally with Sales, IT, Operations, and vendor partners to align technical delivery with business objectives and communicated complex data/technical concepts to non-technical audiences.

AMA Image Recognition Operations Manager at Procter & Gamble (AMA)

Managed day-to-day operations for IR projects across AMA markets, overseeing request fulfillment, incident/problem/change management, and ensuring SLA compliance and quality of service. Drove continuous improvement initiatives by improving Operations and Sales and Marketing teams collaboration to standardize processes, close service gaps, and implement application/service improvements. Led an L1/L2 IT support team, coordinating with Product, Engineering, and vendor teams to ensure service reliability and optimize operations, and maintain high-quality support. Developed and implemented monitoring and quality frameworks to track financial health, image accuracy, and data integrity, while expanding communication and information channels and market engagement to sustain operational excellence.