Shae S.
About Shae S.
Shae S. is a Senior Data QA Engineer at Komodo Health with extensive experience in software development and data engineering, having previously worked at COUNTRY Financial® and State Farm®.
Current Position
Shae S. currently holds the title of Senior Data QA Engineer at Komodo Health, working remotely. In this role, Shae focuses on ensuring the quality and accuracy of data, leveraging a robust background in various programming languages and data technologies.
Previous Experience at COUNTRY Financial
Shae S. worked at COUNTRY Financial® in two different capacities. Initially, from 2019 to 2021, Shae was employed as a Software Developer. Following that, from 2021 to 2022, Shae transitioned to the role of Data Engineer. These roles included responsibilities such as designing efficient processes and creating application reports for leadership.
Experience at State Farm
At State Farm, Shae S. held several positions over the years, starting as a Software Developer from 2011 to 2015 in Bloomington, Illinois. Shae then advanced to Lead Software Developer roles in Bloomington, Illinois, from 2015 to 2017 and again from 2018 to 2019. Throughout the tenure at State Farm, Shae led development teams specializing in .NET and Java technologies, provided around-the-clock production support for a major WebSphere application, and collaborated extensively with business partners to meet their needs.
Early Career
In the early stages of the career, Shae S. worked as a Programmer at Chimp Studios, LLC for 6 months from 2010 to 2011 in Bloomington, Illinois. This was followed by a role as a Helpdesk Representative at Technisource for 6 months in 2011, also in Bloomington, Illinois. These positions laid the foundation for Shae's technical expertise and problem-solving skills, which proved vital in later roles.
Educational Background
Shae S. earned a Bachelor of Science (BS) in Physics and Applied Mathematics from Millikin University, studying from 2006 to 2010. The education emphasized logic flow, complex mathematics, data manipulation, and problem-solving. Shae is self-taught in Python, PySpark, Pandas, and advanced SQL skills to support a career in Data Engineering, with a long-term goal of pursuing a Master’s in Data Science.