Conan Mowbray
About Conan Mowbray
Conan Mowbray is a Senior System Engineer for Cloud and Onprem Splunk Architect at Fannie Mae with extensive experience in Unix systems, cloud engineering, and automation.
Company
Conan Mowbray is currently employed at Fannie Mae, a prominent financial services company. In his role as a Senior System Engineer for Cloud and Onprem Splunk Architect, he operates out of Reston, Virginia, United States. Fannie Mae is known for its significant footprint in the mortgage finance industry, and professionals like Conan contribute to the robustness of its IT infrastructure.
Title
Conan Mowbray holds the title of Senior System Engineer for Cloud and Onprem Splunk Architect. His expertise lies in managing hybrid environments, combining both cloud and on-premise solutions with a focus on Splunk architecture. This advanced role entails managing complex system integrations and ensuring seamless data flow and analysis.
Education and Expertise
Conan Mowbray has an extensive educational background in physics, holding a Master of Arts in Theoretical Physics from the University of Delaware (1998-2000), and a Bachelor of Science in Physics from Stockton University (1993-1998). His technical proficiency spans several scripting languages including Awk, Bourne, C, Korn, Perl, Powershell, Python, and Sed. Additionally, Conan is skilled in using tools such as Ansible, Kubernetes, Jenkins, Splunk, and Terraform for system engineering and automation tasks.
Background
Conan Mowbray has accumulated significant experience in system engineering and administration through various positions. He worked at Verizon as a Senior Unix System and Cloud Engineer from 2006 to 2019, during which he contributed to major IT projects. Conan has also held roles at Landmark Education as a Level 3 Course Supervisor, EDS Corporation as a Senior Unix System Admin, UUNET as a Unix Admin, AETEA Information Technology as a Unix Admin, and Richard Stockton College of NJ in multiple technical capacities.
Achievements
Conan Mowbray's accomplishments include spearheading process and procedural automation, server and VM deployment, and network design. His work at Richard Stockton College of NJ on a geothermal project as a Computer Modeling Developer reflects his innovative approach to problem-solving in scientific research. He has a strong background in server clustering, SAN, and system/architecture design, making him a versatile asset in the IT sector.