Turning Data Points Into Actionable Insights: Meet May Hoque
Blog post from MongoDB
May Hoque is a senior software engineer on MongoDB's Atlas Data Federation team, where he helps create a distributed, federated query engine that can query data from multiple sources. He joined MongoDB as an intern in 2017 and later participated in the New Grad Program, rotating through three teams over six months. The Atlas Data Federation product enables users to query multiple data sources with a single query, unlocking valuable benefits for various use cases. May's team supports example use cases such as analyzing trends and relationships between data points, answering business questions, and aggregating insights across data sets. He is currently working on projects that add new sources of data to the Atlas Data Federation product and rearchitecting systems to improve scalability and service for customers. May credits the strong engineering culture at MongoDB, with opportunities for growth, mentorship, and collaboration, as reasons he continues to work there.
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