Michelle Ricat

Michelle Ricat

Big Data Engineering Lead @ The Meet Group

About Michelle Ricat

Michelle Ricat serves as the Big Data Engineering Lead at The Meet Group, where she has worked since 2020. With a background in data engineering and expertise in developing automated data pipelines, she has held various roles in the field, including positions at the US EPA and RS Energy Group.

Work at The Meet Group

Michelle Ricat has been serving as the Big Data Engineering Lead at The Meet Group since 2020. In this role, she has been responsible for overseeing big data engineering initiatives and developing automated data pipelines. Her tenure at The Meet Group follows her previous position as a Senior Data Engineer/Analyst on the Big Data Team from 2019 to 2020.

Education and Expertise

Michelle Ricat earned her Bachelor of Arts degree in Geology and Anthropology from Smith College, where she studied from 1997 to 2000. She possesses expertise in developing automated data pipelines and has been involved in big data engineering projects since at least 2018.

Background in Geographic Information Systems

Michelle has a background in Geographic Information Systems (GIS), having worked as a Site Manager/DBA for the US Environmental Protection Agency (EPA) from 2006 to 2009. This role involved managing GIS data and infrastructure, contributing to her extensive experience in data engineering.

Previous Work Experience

Prior to her current role, Michelle held various positions in data engineering and consulting. She worked at RS Energy Group as a Lead Data Engineer in 2019 and as a Senior Data Engineer from 2018 to 2019. Additionally, she served as a Senior Data Consultant for the State of New Jersey from 2009 to 2012 and at MMIT from 2012 to 2017.

Professional Journey

Michelle Ricat's professional journey in data engineering began in 2009. Over the years, she has accumulated diverse experience across multiple organizations, including the US EPA, RS Energy Group, and The Meet Group. Her roles have consistently focused on data engineering, analytics, and GIS.

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