Emily Stolfo
Adjunct Faculty at Elastic
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolEmily Stolfo is a Principal Software Engineer and adjunct faculty in Berlin with 13 years of experience building observability and data-processing systems, currently leading LLM observability efforts at Elastic. She blends deep backend expertise in Ruby and Go—contributing to high-profile open-source projects like MongoDB drivers and Elasticsearch clients—with hands-on DevOps work improving CI and API compatibility. As a former steward of MongoDB’s Ruby ecosystem and contributor to Elastic APM and apm-server, she focuses on reliable telemetry, data models, and performance-sensitive integrations. Emily also teaches observability and NoSQL at Columbia University, bringing industry-grade practices into the classroom. An unusual detail: she once took a sabbatical to apprentice in an award-winning French bakery, reflecting a curiosity for craft and process that parallels her engineering approach.
13 years of coding experience
14 years of employment as a software developer
Masters, Museology/Museum Studies, Masters, Museology/Museum Studies at Ecole Du Louvre, ParisB.A., Computer Science, Art History (double major), B.A., Computer Science, Art History (double major) at Columbia University
English, French, Italian, German
Github Skills (37)
ruby-rails10
apidoc10
amazon-elasticsearch10
distributed-tracing10
rails10
travis-ci10
cicd10
apm10
ruby10
implement10
mongodb-database10
elasticsearchquery10
go10
api10
aws-elasticsearch10
Programming languages (19)
Github contributions (5)
mongodb/mongo-ruby-driver
Jul 2012 - May 2018
The Official MongoDB Ruby Driver
Role in this project:
Backend Developer
Backend DeveloperContributions:41 releases, 2127 commits, 508 PRs in 5 years 10 months
Contributions summary:Emily's commits focus on enhancing the MongoDB Ruby driver's functionality and stability. Their work involves addressing bugs, improving code quality, and ensuring the driver's proper operation. The contributions span a range of areas within the driver, including implementing features such as session management, collation, and improved error handling. They demonstrate a solid understanding of the underlying protocol and the design of the driver's API.
ruby-on-railsrailsrubymongodb-drivermongodb
elastic/elasticsearch-rails
Jun 2018 - Aug 2019
Elasticsearch integrations for ActiveModel/Record and Ruby on Rails
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:5 releases, 161 commits, 140 PRs in 1 year 2 months
Contributions summary:Emily primarily focused on improving the repository's continuous integration (CI) infrastructure and updating dependencies. Their contributions included updating the Travis CI configuration, specifically the Elasticsearch download URL, test matrices, and Ruby versions. They also made changes to support Elasticsearch 7.0, reflecting a focus on maintaining the project's compatibility with newer versions of the search engine. Furthermore, the user contributed to improving the repository's build and test processes.
ruby-on-railselasticrailsmongoidruby
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