David Whiteis
About David Whiteis
David Whiteis is a Systems Engineer with extensive experience in systems administration and engineering across various organizations, including Insight Global and the National Institutes of Health. He holds a BS in Computer Science and possesses multiple certifications, along with expertise in patent writing.
Current Role at Insight Global
David Whiteis currently serves as a Systems Engineer at Insight Global, a position he has held since 2021. He works at the JMLFDC located in Ft. Detrick, Frederick, MD. His role involves managing and optimizing systems to ensure operational efficiency.
Previous Experience in Systems Administration
David has extensive experience in systems administration. He worked at Insight Global as a Systems Administrator and Shift 2 Lead from 2020 to 2021. Prior to that, he held the position of Systems Administrator I at the J. Craig Venter Institute from 2008 to 2014. His background includes roles at H. Beck, Inc. and Optimal Networks, Inc., where he further developed his skills in system management.
Educational Background
David Whiteis studied at the University of North Carolina Wilmington from 1980 to 1982. He later attended Strayer University, where he earned a Bachelor of Science degree in Computer Science from 2004 to 2006. His education has provided a solid foundation for his career in technology.
Technical Expertise and Certifications
David possesses a range of technical expertise, particularly in Windows server administration, VMware vSphere, and Windows workstation deployment. He holds several certifications, including CompTIA Security+, Microsoft MCSE, Cisco CCNA, Cisco CCNA-Voice, and Apple CTC. These qualifications enhance his capabilities in the field of systems engineering.
Patent Writing and Security Clearance
David has expertise in patent writing and has independently licensed or sold multiple patents. He also holds a Secret Clearance, which allows him access to classified information, demonstrating his trustworthiness and capability in handling sensitive data.