Jackson Reber
About Jackson Reber
Jackson Reber is a Data Engineer with experience in managing various data sources and developing tailored ETL processes. He has worked at Oklahoma City Thunder in multiple roles and currently holds positions at InterWorks and Lambda School.
Work at InterWorks
Jackson Reber has been employed at InterWorks as a Data Engineer since 2022. In this role, he works with various data sources, including relational databases and high-performance analytical databases, to unify client data. He develops ETL processes that are tailored to meet client needs and manages their expectations effectively. Reber collaborates closely with users to understand their unique requirements and provides optimal data solutions, addressing complex data-acquisition, integration, and management challenges.
Previous Experience at Oklahoma City Thunder
Before joining InterWorks, Jackson Reber held multiple positions at the Oklahoma City Thunder. He served as the Lead Marketing Associate for one year from 2015 to 2016. Following this, he worked as the Community Relations Outreach Coordinator from 2017 to 2021 for four years. Additionally, he gained experience as a Marketing Intern from 2016 to 2017 for one year. His roles involved various aspects of marketing and community engagement within the organization.
Education and Expertise
Jackson Reber studied at the University of Central Oklahoma, where he earned a Bachelor of Arts in Strategic Communication, focusing on Marketing, Public Relations, and Advertising from 2012 to 2016. He furthered his education at Lambda School, where he completed a Data Science program in 2021 over the course of 11 months. This educational background has equipped him with the skills necessary for his current role as a Data Engineer.
Current Role at Lambda School
In addition to his position at InterWorks, Jackson Reber has been working as a Data Engineer at Lambda School since 2021. His responsibilities include solving complex data-acquisition and integration problems. This dual role allows him to apply his data engineering skills in different environments, enhancing his expertise in the field.