Cody Crossley

Data Engineer @ Quartet Health

About Cody Crossley

Cody Crossley is a Data Engineer with extensive experience in data analysis and integration. He has worked for several companies, including Quartet Health and Privia Health, and holds a Bachelor of Science in Mathematics from Missouri State University.

Current Role at Quartet Health

Cody Crossley currently serves as a Data Engineer at Quartet Health, a position he has held since 2021. In this role, he is responsible for designing and implementing data solutions that support the organization's healthcare initiatives. His work focuses on enhancing data integration and ensuring the reliability of data systems to improve patient outcomes.

Previous Experience at Quartet Health

Prior to his current role, Cody Crossley worked as a Senior Data Integration Specialist at Quartet Health from 2019 to 2021. During this time, he contributed to the development and optimization of data integration processes, playing a key role in the organization’s efforts to streamline data management and enhance operational efficiency.

Experience at Privia Health and Lockton Companies

Cody Crossley has prior experience as a Data Analyst at Privia Health from 2018 to 2019, where he focused on data analysis to support healthcare operations. Before that, he worked for two years as a Data Analyst at Lockton Companies from 2015 to 2017, where he utilized his analytical skills to assist in risk management and insurance solutions.

Early Career at Cerner Corporation

Cody began his career as a Data Analyst at Cerner Corporation, where he worked from 2014 to 2015 for ten months. His role involved analyzing healthcare data to support the development of health information technology solutions, contributing to the company's mission of improving healthcare delivery.

Education and Academic Background

Cody Crossley earned a Bachelor of Science in Mathematics from Missouri State University, completing his studies from 2010 to 2014. His academic background in mathematics provides a strong foundation for his analytical work in data engineering and analysis within the healthcare sector.

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