Justin Coberly

Justin Coberly

Director Of Technology, Senior Engineer, Amazon Marketplace Intelligence @ Sifted

About Justin Coberly

Justin Coberly serves as the Director of Technology and Senior Engineer for Amazon Marketplace Intelligence at Sifted, where he has worked since 2022. He has extensive experience in web development, particularly in frontend and backend technologies, and leads the development of a SaaS application that aids Amazon sellers in enhancing their marketing strategies.

Work at Sifted

Justin Coberly serves as the Director of Technology and Senior Engineer for Amazon Marketplace Intelligence at Sifted since 2022. In this role, he leads the development of a SaaS application designed to deliver actionable analytics for Amazon sellers. His responsibilities include overseeing the Amazon Marketplace Intelligence team and utilizing the Amazon Selling Partner API to create scalable APIs for data ingestion. Coberly also conducts product demonstrations to explain how Sifted's platform provides valuable data and insights to Amazon sellers.

Education and Expertise

Justin Coberly studied Software Engineering at California State University, Fullerton, where he earned a Bachelor of Computer Science. He has over a decade of experience in web development, with a strong background in both frontend and backend technologies, including ReactJS, NodeJS, and Typescript/Javascript. His expertise extends to building applications using various AWS services such as Lambda, RDS, EC2, SQS, SES, S3, Beanstalk, and Cognito.

Background

Before joining Sifted, Justin Coberly worked as a Full Stack Engineer at the same company from 2021 to 2022. He also held the position of Managing Director at Dealer Digital Group, LLC from 2014 to 2018 in Murrieta, CA. His experience includes a role as Principal Software Engineer at Northrop Grumman from 2018 to 2021, where he contributed to various software projects.

Technical Skills

Justin Coberly has a comprehensive skill set that includes proficiency in a variety of databases such as MySQL, MSSQL, MongoDB, and NoSQL. He is experienced in breaking down essential metrics for Amazon sellers to enhance their sales performance and provides insights on optimizing Amazon FBA inbound shipment operations. His technical capabilities also include utilizing the Amazon Selling Partner API to support data-driven decision-making for sellers.

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