Tyler Boyd is a skilled Data Engineer at Lighting New York, focusing on the development of Python ETL pipelines that enhance performance and reduce costs. Previously, Tyler served as a Business Intelligence Specialist at Innovis, where core data governance dashboards were developed to improve data quality and decision-making. Earlier experience as a Research and Data Analyst Intern at Prescribe FIT involved conducting market research and implementing technology tools for data automation and workflow improvement. Tyler began a career in data while working as a University Information Systems Work Study Assistant at Franklin University, gaining valuable experience in data entry, manipulation, and visualization. Tyler holds a Bachelor of Science in Management Information Systems from Franklin University and an Associate of Science in Kinesiology and Exercise Science from Columbus State Community College.
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