Jaimie Stein
About Jaimie Stein
Jaimie Stein is a Senior Data Engineer at Sketchy in Pittsburgh, Pennsylvania, with a career spanning various roles in data engineering and analytics since 2006. Stein holds a Master's degree in Information Systems Management from Carnegie Mellon University and has previously worked at Govini, Merkle, and IBM, among other organizations.
Work at Sketchy
Jaimie Stein has been employed at Sketchy as a Senior Data Engineer since 2022. In this role, Stein contributes to data engineering projects, utilizing skills in data management and analytics. The position is based in Pittsburgh, Pennsylvania, where Stein has been active in the local tech community.
Previous Employment History
Before joining Sketchy, Jaimie Stein worked at Govini as a Data Engineer from 2020 to 2022. Prior to that, Stein held the position of Lead Data Analyst at Merkle from 2018 to 2020. Stein's career also includes a role as a Graduate Teaching Assistant in Text Analytics at Carnegie Mellon University in 2016 and a brief tenure as a Senior Analytics Consultant at IBM in the same year. Earlier experience includes working as a Lab Attendant and IT Support at The Pennsylvania State University and various roles at Bank of America Merrill Lynch.
Education and Expertise
Jaimie Stein earned a Master's degree in Information Systems Management, Business Intelligence, and Data Analytics from Carnegie Mellon University - Heinz College of Information Systems and Public Policy, completing the program in 2016. Stein also holds a Bachelor of Science degree in Computer Science and Mathematics from Penn State University, which was obtained in 2007. This educational background supports Stein's expertise in data engineering and analytics.
Technical Skills and Areas of Focus
Throughout Jaimie Stein's career, there has been a focus on data engineering, analytics, and information systems. Stein's roles have involved utilizing technical skills in data management, programming, and analytics to support various organizational objectives. This includes experience in both academic and corporate environments, contributing to a well-rounded skill set in the field of data.