Ep. 177, From DJ decks to cloud architecture with Shannon Eldridge-Kuehn


Aired June 9, 2025 | 29 min
In this episode of The PowerShell Podcast, we chat with Shannon Eldridge-Kuehn, a seasoned technologist whose career spans from spinning vinyl as a DJ to leading cloud and FinOps consulting. Shannon shares her unique journey into tech, driven by curiosity and a desire to record her DJ sets, which ultimately led to a successful career in cloud infrastructure, Azure, platform engineering, and FinOps.
We explore Shannon’s transition into IT without a traditional tech background, her time at Microsoft, and her current work in FinOps. She discusses the challenges of cloud adoption, navigating imposter syndrome, and why strong communication skills are just as critical as technical ones. This episode is a masterclass in resilience, career evolution, and staying curious.
Meet our guest
Shannon Eldridge-Kuehn
Shannon Eldridge-Kuehn is a principal solutions architect with a unique blend of technical depth and strong communication roots. A University of Nebraska–Lincoln graduate in communication studies with a minor in English, she began her journey into tech through DJing and audio troubleshooting, which sparked a passion for problem-solving. Over time, she progressed from help desk roles into advanced infrastructure and cloud engineering, with experience spanning Windows systems, VMware, Exchange, Office 365, and Azure. Her career includes roles at Microsoft and 10th Magnitude, where her love for cloud truly flourished. Shannon leverages her background in public speaking and writing to bridge the gap between business needs and technical solutions.

Meet our host
Andrew Pla
Andrew Pla, a seasoned IT professional with over 10 years of experience, has spent the last 5 years mastering PowerShell. An ardent member of the PowerShell community and a Microsoft MVP, he loves sharing his knowledge and leveraging automation to solve complex problems. You can always find him connecting with others on the PDQ Discord and troubleshooting, with the firm belief that a problem shared is a problem halved.

