Brad May is a Principal Systems Engineer with Starbucks Coffee Company with over twenty years experience in Data Engineering and Systems Development from point solutions, enterprise-scale data warehouses, and most recently, Big Data solutions in the Cloud. He is currently focused on establishing best practices for efficient and highly resilient data pipelines for the Starbucks Business Intelligence and Data Services team.
Running a global, world-class business with data-driven decision making requires ingesting and processing diverse sets of data at tremendous scale. How does a company achieve this while ensuring quality and honoring their commitment as responsible stewards of data? This session will detail how Starbucks has embraced big data, building robust, high-quality pipelines for faster insights to drive world-class customer experiences.