Dante Dillon
About Dante Dillon
Dante Dillon is a Network Specialist currently employed at Black Box since 2020, with a background in electrical engineering and extensive experience in network-related roles across various organizations.
Current Role at Black Box
Dante Dillon has been employed as a Network Specialist at Black Box since 2020. In this role, he is responsible for managing and optimizing network systems. His expertise contributes to the overall performance and reliability of network services within the organization.
Previous Experience in Network and Technical Roles
Dante Dillon has held various technical positions prior to his current role. He worked as a Dell Deployment Technician at Apex Systems for two months in 2014, focusing on deployment tasks at UCSF Medical. He also served as a Disconnect Reconnect Technician at Corovan for eight months in 2015, where he managed disconnection and reconnection tasks in the San Francisco Bay Area.
Internship and Early Career Experience
Dante Dillon gained valuable experience as an Electrical Engineering Intern at Glumac from 1997 to 1999. This two-year internship took place in the San Francisco Bay Area, where he developed foundational skills in electrical engineering. Additionally, he spent six months in 2013 at The Stride Center as a student, furthering his technical knowledge.
Educational Background in Engineering
Dante Dillon studied at San Francisco State University from 1996 to 2005, where he focused on Electrical, Electronics, and Communications Engineering. He achieved a degree in Computer Engineering during this nine-year period. He also attended Stridecenter in 2013, where he studied Internet technologies and obtained a CompTIA A Plus certification.
Involvement in Data Migration Projects
Dante Dillon has participated in data migration projects for large-scale financial organizations. His work has included performing network surveys and reimaging for major financial institutions such as Merrill Lynch and Bank of America, showcasing his expertise in network management and data handling.