Tyson Koger

Tyson Koger

Software Engineer @ Sparklight

About Tyson Koger

Tyson Koger is a Software Engineer with over 15 years of experience at Sparklight in the Phoenix, Arizona area. He previously served in the US Navy as a Lead AN/SLQ-48 Technician and Force Protection Specialist, and he specializes in network monitoring and various programming languages.

Work at Sparklight

Tyson Koger has been employed at Sparklight as a Software Engineer since 2009. His role involves developing and maintaining software solutions that enhance network performance and reliability. Koger's experience at Sparklight spans over 15 years, during which he has contributed to various projects aimed at improving customer service and operational efficiency in the telecommunications sector. He operates out of the Phoenix, Arizona area.

Previous Experience in the US Navy

Before joining Sparklight, Tyson Koger served in the US Navy. He worked as a Lead AN/SLQ-48 Technician and Work Center Supervisor from 1996 to 2001 for five years. Following this role, he transitioned to a position as a Force Protection Specialist from 2001 to 2005 for four years. His military experience provided him with a strong foundation in technical skills and leadership.

Education and Expertise

Tyson Koger studied at Mesa Community College, where he focused on Linux Network Administration. He completed an Associate of Applied Science (AAS) degree from 2004 to 2006. Koger specializes in network monitoring, utilizing tools such as IBM Tivoli Omnibus, ITNM (Netcool Precision), and Impact. He is proficient in various programming languages and technologies, including Python, Flask, PostgreSQL, Javascript, and Perl.

Technical Skills and Specializations

Tyson Koger possesses a diverse skill set in software development and network monitoring. His expertise includes the use of IBM Tivoli Omnibus and ITNM (Netcool Precision) for network monitoring tasks. Koger is well-versed in multiple programming languages, which enables him to develop robust software applications and manage complex data systems effectively.

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