Dan Hamp is a DevOps and infrastructure technology professional with 12+ years of experience in designing high-performance computing environments. Dan architected and implemented Teren’s automated, high-performance, highly scalable, and fault-tolerant cloud-agnostic compute environment for processing aerial imagery, LIDAR and analytics. Dan works with data scientists, data engineers and front-end web developers to design Teren’s core applications around a containerized, micro-service architecture utilizing many cloud native constructs.