Enabling Personalized Customer Engagement with a Modular Data Architecture

Client: A prominent American omnichannel retailer with a diversified merchandise portfolio and a vast network of physical and digital storefronts offering fashion, beauty, and premium personal services.

Challenges: The client’s monolithic data architecture and significant technical debt created massive infrastructure bottlenecks, preventing them from effectively merging datasets to deliver personalized customer engagement at scale.

Solutions: Architected a modular, reusable data pipeline that decoupled processing and optimized infrastructure efficiency—drastically reducing resource load while enabling a high-performance, scalable foundation for data-driven customer experiences.