Scott Wallace
About Scott Wallace
Scott Wallace is a Lead Data Engineer at Rakuten Marketing, where he has worked for 15 years. He has over a decade of experience in building enterprise data warehouse and analytics solutions, with a strong focus on marketing analytics.
Work at Rakuten Marketing
Scott Wallace has served as the Lead Data Engineer at Rakuten Marketing since 2009. In this role, he has focused on developing data engineering strategies that enhance the company's marketing analytics capabilities. His work has contributed to building robust data solutions that support the organization's objectives in the competitive marketing landscape. Based in the Tampa/St. Petersburg, Florida Area, he has played a key role in leveraging data to drive marketing insights.
Previous Experience in Data Engineering
Before joining Rakuten Marketing, Scott Wallace held several positions that contributed to his expertise in data engineering. He worked at Guident Technologies as a Business Intelligence Engineer III from 2006 to 2009, where he developed business intelligence solutions. Prior to that, he was a DataLoader Administrator at TEOCO from 2002 to 2004, and he began his career as a Consultant at BearingPoint from 2005 to 2006. These roles provided him with a solid foundation in data management and analytics.
Education and Expertise
Scott Wallace earned his Bachelor of Science (B.S.) degree in Integrated Science & Technology from James Madison University, where he studied from 1998 to 2002. His educational background also includes a focus on Computer Science. With over a decade of experience in building enterprise data warehouses and analytics solutions, he possesses extensive expertise in data engineering, particularly within the marketing analytics sector.
Background in Data Solutions
Scott Wallace has over ten years of experience in the field of data engineering, specifically in creating enterprise data warehouse and analytics solutions from the ground up. His career has been marked by a commitment to developing innovative data strategies that meet the evolving needs of businesses. His background includes significant contributions to data engineering practices that enhance data-driven decision-making.