Chris Hansen
About Chris Hansen
Chris Hansen serves as the Head of Data Engineering at Q-Centrix, bringing extensive experience in data analytics and engineering from various roles at Health Catalyst and Overstock.com. He emphasizes the importance of data accessibility and patient privacy in healthcare decision-making.
Current Role at Q-Centrix
Chris Hansen serves as the Head of Data Engineering at Q-Centrix since 2023. In this role, he is responsible for overseeing data engineering initiatives and ensuring the effective management of data resources. His focus includes enhancing data accessibility and supporting the development of data-driven solutions within the organization.
Previous Experience at Health Catalyst
Hansen held multiple positions at Health Catalyst from 2014 to 2022. He served as a Senior Data Architect, where he contributed to data architecture strategies. He then progressed to roles such as Sr. Analytics Director and Analytics Director, VP of Research and Development. His responsibilities included optimizing database performance and leading analytics initiatives, emphasizing data governance and analytics engineering.
Educational Background
Chris Hansen studied at Weber State University, where he earned a Bachelor of Science in Technical Writing and Information Systems and Technology from 2003 to 2005. He furthered his education at Regis University, obtaining a Master of Science in Database Technologies, specializing in Teradata and Oracle, from 2011 to 2013. Additionally, he completed an Associates of Applied Science in Accounting at LDS Business College from 2000 to 2001.
Technical Skills and Proficiencies
Hansen possesses a wide range of technical skills, including proficiency in Business Objects, BMC Control-M, DMExpress, and Oracle Data Integrator. He has extensive experience in supporting ETL solutions across various database environments, such as Oracle, MS SQL Server, and Teradata. Hansen is also skilled in both Windows and UNIX operating systems, shell scripting with Bash and PowerShell, and familiar with modern programming languages and databases, including PHP, Python, R, MongoDB, and Neo4j.
Contributions to Healthcare Data Analytics
Hansen emphasizes the significance of data engineering in making complex healthcare datasets accessible. He advocates for informed decision-making through data and believes in the transformative potential of clinical data analytics. His work includes leading projects that identify patients in need of follow-up care, such as breast cancer patients who missed appointments, which contributed to improved health outcomes.