Dale Kahlich
About Dale Kahlich
Dale Kahlich is a Senior Developer and Data Architect at Loopback Analytics, where he has worked since 2014. He has over 30 years of experience in various roles across industries, including health care finance, and has developed a software platform that supports over 4,000 hospitals globally.
Work at Loopback Analytics
Dale Kahlich has been employed at Loopback Analytics since 2014, serving as a Senior Developer and Data Architect. In this role, he has contributed to the development of software solutions that support over 4,000 hospitals worldwide. His responsibilities include overseeing data architecture and ensuring the effective management of data systems.
Previous Experience in Consulting and Development
Prior to his current role, Dale Kahlich held several positions in various organizations. He worked at Price Waterhouse as a Senior Consultant from 1988 to 1991. He then transitioned to Sprint, where he served as a Senior Developer from 1991 to 1994. His experience also includes a role as Director of Data Management and Reporting at MedAssets from 2005 to 2008, and as a Data Architect - Lead Programmer at RemitDATA from 2009 to 2014.
Education and Expertise
Dale Kahlich earned a Bachelor of Science degree in Computer Science from Texas A&M University. He possesses expert-level skills in SQL server and has extensive experience in health care population analytics. His educational background and technical expertise support his work in data architecture and software development.
Background in Diverse Industries
Dale Kahlich has worked across a variety of industries, including Big Six tax processing, telecommunications, and health care finance. His diverse background has equipped him with a broad understanding of different sectors and their data management needs.
Key Projects and Initiatives
One of Dale Kahlich's significant contributions includes leading a migration project to Microsoft Azure Cloud, which involved transitioning from on-premise systems. This project highlights his ability to manage complex data architecture initiatives and adapt to evolving technological landscapes.