Mike R.
About Mike R.
Mike R. is a Data Engineer and Power BI Developer with an MBA from Regis University and a Bachelor's degree in Business Administration from Metropolitan State University of Denver. He has over a decade of experience in data engineering, specializing in developing SSAS Tabular models and improving sales compensation systems.
Work at Poly
Mike R. has been employed at Poly as a Data Engineer and Power BI Developer since 2013. In this role, he has focused on developing data solutions that enhance reporting capabilities for the organization. His work includes creating SSAS Tabular models that serve as a backend for Power BI reporting, specifically tailored to meet the business and technical requirements of the sales organization. He operates in a work-from-home environment, allowing him to contribute effectively to the company's data analytics initiatives.
Education and Expertise
Mike R. holds a Master of Business Administration (MBA) from Regis University, where he studied Business Administration and Management from 2008 to 2010. Prior to that, he earned a Bachelor of Science in Business Administration with an emphasis in Marketing from Metropolitan State University of Denver, completing his studies from 2002 to 2007. His educational background provides a solid foundation for his expertise in data engineering and analytics.
Background
Before joining Poly, Mike R. worked at UnitedHealthcare as a Senior Operations Analyst from 2012 to 2013, where he focused on operational analysis. He also served as a Commissions Adjustment Analyst at InfoPrint Solutions from 2009 to 2011. His diverse work experience in data analysis and operations has equipped him with the skills necessary to excel in his current role.
Achievements in Data Engineering
Throughout his career, Mike R. has made significant contributions to data processing and reporting systems. He improved the processing time for the in-house sales compensation system by utilizing Azure Databricks. Additionally, he played a key role in developing a SSAS Tabular data model that enabled the sales team to access live reports from their mobile devices. His ability to combine data from various sources, including SQL, PeopleSoft, Oracle, and Salesforce, has facilitated informed decision-making across the organization.