Eric Maynard
Software Engineer at Meta
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolEric Maynard is a senior full-stack software engineer with a decade of experience building cloud-native, distributed systems and a five-year track record driving high-impact projects at MongoDB. He specializes in Java-based back-end work and has deep expertise in the Atlas control plane, where he led redesigns that cut customer hardware costs and improved reliability for 200k+ managed databases. Eric contributes to the core MongoDB repo—working on sharding, aggregation, resharding utilities, and oplog synchronization—demonstrating intimate knowledge of database internals and concurrency correctness. Comfortable across the stack with TypeScript, React, Go, and Python, he routinely scopes, designs, and ships end-to-end features while mentoring small teams. Now at Meta, he brings production-grade distributed systems experience and a proven ability to make complex cloud database behaviors invisible to customers. An engineer by training from Carnegie Mellon, he pairs systems-level rigor with a pragmatic focus on measurable operational and cost improvements.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Electrical and Computer Engineering, Bachelor's degree, Electrical and Computer Engineering at Carnegie Mellon University
Github Skills (16)
databases10
aggregate10
aggregates10
c-language10
cprogramming-language10
mongodb10
sharding10
nosql10
pipe10
pipeline10
mongodb-database10
database10
testing9
distributed-systems9
opl8
Programming languages (6)
Github contributions (5)
mongodb/mongo
Aug 2020 - Sep 2020
The MongoDB Database
Role in this project:
Back-end Developer / Database Engineer
Back-end Developer / Database EngineerContributions:8 commits, 1 branch in 1 month
Contributions summary:Eric primarily contributed to the MongoDB database codebase, focusing on sharding and aggregation features. They made changes to the resharding utility, including writing and testing aggregation pipelines and creating a config.transactions cloner. The user also addressed concurrency issues and improved the handling of errors, particularly related to oplog synchronization and cursor management. Their work demonstrates a deep understanding of MongoDB's internal workings and distributed systems.
nosqlc-plus-plusmongodb-databasedatabasemongodb
melodeeli98/codeblox-capstone
Feb 2020 - May 2020
Repository for 18500 Capstone S20 Team B5.
Contributions:2 PRs, 61 pushes, 4 branches in 2 months
capstone
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