Jo-ann Meunier
Staff Software Engineer at Datadog
North Kingstown, Rhode Island, United States
Summary
🤩
Rockstar🎓
Top SchoolJo-ann Meunier is a senior backend engineer with about a decade of experience building large-scale distributed systems, currently focused on REDAPL Compute at Datadog. She designs and operates Go-based backend platforms that read and write to distributed storage used across dozens of high-profile products, leveraging Postgres, Elasticsearch, Kafka and Kubernetes. Previously she led backend work on Datadog’s Database Monitoring product, shipping features like load sampling, SQL Server and Oracle support, and an APM‑DBM link. Her background includes high-throughput Java systems at New Relic handling tens of millions of requests per minute and early firmware and test engineering roles that give her strong systems and hardware-adjacent debugging skills. An active contributor to Datadog’s open-source integrations-core, she added database monitoring functions and live-query support for Postgres, improving real-world observability tooling. Based in Rhode Island, she combines pragmatic cross-team collaboration with a track record of quickly delivering robust, production-grade features.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Electrical Engineering, Bachelor of Science (B.S.), Electrical Engineering at University of Rhode IslandMaster of Science (M.S.), Computer and Software Engineering, Master of Science (M.S.), Computer and Software Engineering at Boston University
Github Skills (7)
monitoring10
sql-server10
data-monitoring10
python10
integrations10
postgresql9
sql9
Programming languages (5)
Github contributions (5)
DataDog/integrations-core
Sep 2021 - Jan 2023
Core integrations of the Datadog Agent
Role in this project:
Back-end Developer
Back-end DeveloperContributions:550 reviews, 132 commits, 213 PRs in 1 year 4 months
Contributions summary:Jo-ann contributed to the Datadog Agent integrations core, implementing features for database monitoring. They added new functions, such as `database_monitoring_query_activity`, to report database activity events. Additionally, the user added support for live queries in the Postgres integration and made improvements to the SQL Server integration by adding active sessions monitoring and cloud metadata support. Furthermore, the user fixed bugs and improved the efficiency of the SQL Server query metrics collection.
datadogdatadog-agentddintegrations
jmeunier28/EC544
Sep 2016 - Dec 2016
Contributions:110 pushes, 3 branches in 2 months
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