Gray Broadbent
About Gray Broadbent
Gray Broadbent is an Analytics Engineer with a background in data engineering and ETL processes, currently employed at Health Catalyst since 2021. He has experience in the healthcare sector, providing analytic support for Stanford Healthcare and has previously worked at BioFire Diagnostics and Utah Valley University.
Current Role at Health Catalyst
Gray Broadbent currently serves as an Analytics Engineer at Health Catalyst, a position he has held since 2021. In this role, he focuses on analytics and data engineering, contributing to projects that enhance healthcare data management and analytics capabilities. His work supports various healthcare initiatives, including providing analytic support specifically for Stanford Healthcare in Palo Alto, California.
Previous Experience at BioFire Diagnostics
Prior to his current role, Gray Broadbent worked at BioFire Diagnostics, LLC as an ETL Developer for a period of seven months in 2020. He was responsible for developing and managing Extract, Transform, Load (ETL) processes, which are crucial for data integration and management in healthcare. Additionally, he served as a Data Engineer Intern at BioFire Diagnostics in 2019 for three months, where he gained foundational experience in data engineering.
Internship Experience at Health Catalyst
Gray Broadbent began his professional journey as an Analytics Engineer Intern at Health Catalyst in 2020. During this three-month internship, he gained valuable insights into healthcare analytics and data processes, which laid the groundwork for his subsequent career in the field.
Educational Background in Information Systems
Gray Broadbent earned a Bachelor of Science degree in Information Systems with a focus on Business Intelligence Systems from Utah Valley University. His studies spanned from 2016 to 2020, equipping him with the technical skills and knowledge necessary for a career in data analytics and engineering.
Professional Focus and Contributions
Gray Broadbent has a strong focus on ETL processes and data engineering within the healthcare sector. He finds fulfillment in working in an industry that contributes to saving lives, indicating a commitment to leveraging data analytics to improve healthcare outcomes.