Terrell Olvera

Terrell Olvera is a skilled engineer specializing in data acquisition and data management.

With a background in Mechanical Engineering and programming for Data Science, Terrell excels in analyzing and optimizing large data sets.

Currently a Senior Data Acquisition and Data Management Engineer at Daimler Trucks North America, Terrell is leading a project that enables engineers to identify events for analysis within extensive datasets.

His expertise includes working with tools such as Vector GL Logger, PostgreSQL, and GitHub.

Terrell's educational journey includes a Bachelor of Science in Mechanical Engineering from California State University-Fresno, along with various other academic achievements in programming, general studies, and foreign language studies.

Prior to his current role, Terrell served in different capacities at Daimler Trucks North America and Mercedes-Benz Research & Development North America, Inc., showcasing his versatility and adaptability in the engineering field.

With a background in internships at leading companies like Serpa Packaging Solutions and International Paper, Terrell has gained valuable experience in the industry.

A former Cryptologic Linguist in the US Army, Terrell's diverse skill set and experiences make him a well-rounded professional in the field of engineering and data management.