Mei Long

Mei Long

Founding Member, Product @ Prophecy

About Mei Long

Mei Long is a founding member of Prophecy, where they focus on product development. They have extensive experience in the tech industry, having held various roles at companies such as Teradata, Splunk, and Upsolver.

Current Role at Prophecy

Mei Long serves as a Founding Member in the Product team at Prophecy since 2022. In this role, Mei contributes to the development and enhancement of data engineering solutions. The position is based in Palo Alto, California, and is conducted remotely. Mei's involvement is crucial in shaping the product strategy and ensuring alignment with market needs.

Previous Experience in Data Engineering

Prior to joining Prophecy, Mei Long held various positions in the data engineering field. At Teradata, Mei worked as an Instructor and Training Manager from 2009 to 2015, and earlier as a Professional Service Consultant and Benchmark Developer from 2005 to 2009. Mei also served as an Open Source Software Architect at Splunk from 2015 to 2017 and as a Director of Education at Heptio for 9 months in 2017. These roles contributed to a strong foundation in data solutions and education.

Educational Background

Mei Long studied at the University of Cincinnati - College of Engineering and Applied Science, where Mei earned a Bachelor of Science degree in Computer Engineering. This educational background provided a solid technical foundation that supports Mei's career in product development and data engineering.

Launch of Prophecy University

In April 2024, Mei Long announced the launch of Prophecy University. This initiative aims to address the growing skills gap in data engineering through agile, self-paced training programs. The university is designed to equip professionals with the necessary skills to excel in the evolving data landscape.

Experience in Remote Work

Throughout Mei Long's career, remote work has been a consistent aspect. Positions held at companies such as Splunk, Upsolver, Confluent, and Heptio were conducted remotely, demonstrating adaptability to various work environments. This experience has contributed to effective collaboration and communication across distributed teams.

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