Trevor Barnes
About Trevor Barnes
Trevor Barnes is the Manager of Engineering Analytics at BLUE ORIGIN, with a diverse background in business intelligence and data analysis from companies like Amazon and Boeing.
Title
Trevor Barnes is currently the Manager of Engineering Analytics at BLUE ORIGIN since 2021. Prior to this role, he held the position of Senior Business Intelligence Engineer at the same company for 8 months in 2021.
Previous Experience at Amazon
Trevor Barnes worked at Amazon in Seattle, WA, holding the position of Business Intelligence Engineer II at Amazon Air from 2019 to 2021. In this role, he was responsible for utilizing business intelligence tools and methodologies to analyze data and support operational decision-making. From 2018 to 2019, he also served as a Business Analyst II for Amazon Air, contributing to the operational analytics and performance measurement.
Experience at Boeing
Trevor Barnes has a significant background at Boeing, having worked there from 2014 to 2018. During his tenure, he operated as a Business Intelligence & Data Analyst in the Greater Seattle Area. Additionally, in 2014, he briefly served in the Flight Test - Business Operations division for seven months.
Educational Background
Trevor Barnes holds a Bachelor of Science (BS) in Aviation/Airway Management and Operations from Purdue University, which he completed between 2010 and 2014. He also studied Accounting at City University of Seattle, earning a certificate from 2015 to 2017. Furthering his education, he achieved a certificate in Big Data Technologies from the University of Washington from 2019 to 2020.
Key Projects and Initiatives
During his career, Trevor has led critical projects such as the onboarding, design, planning, and proof of concept for the Databricks analytics platform. He designed and deployed a Terraform repository to manage AWS and Databricks resources, integrating Data Engineering and Analytics platforms. His work also involved integrating with Cyber Security for application and platform deployment, and setting up a Machine Learning Engineering process.