Dan Hermann
Staff Engineer at Fastly
Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolDan Hermann is a Staff Engineer with nine years of experience building resilient backend systems, currently driving engineering at Fastly from Texas. He has deep expertise in distributed search and logging platforms, contributing substantial core changes and feature work to high-profile open-source projects like Elasticsearch and Logstash. Dan’s contributions include low-level optimizations, Java plugin APIs, and API-driven logging controls—work that improves performance, observability, and operational flexibility at scale. He pairs an MIT computer science foundation with theological graduate study, reflecting a curious, systems-oriented mind with a broader humanistic perspective. Known for refactoring legacy code and shipping pragmatic fixes, he excels at making complex infrastructure more maintainable and efficient.
9 years of coding experience
BS, Computer Science, BS, Computer Science at Massachusetts Institute of TechnologyM. Div., Theology, M. Div., Theology at Westminster Theological Seminary
Github Skills (17)
data-stream10
apidoc10
amazon-elasticsearch10
java10
javas10
elasticsearchquery10
api10
aws-elasticsearch10
elasticsearch10
jruby10
data-streams10
elasticsearch-api10
unit-testing9
exception-handling9
metadata-management8
Programming languages (10)
Github contributions (5)
elastic/logstash
Nov 2017 - Nov 2019
Logstash - transport and process your logs, events, or other data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:348 commits, 227 PRs, 102 pushes in 1 year 11 months
Contributions summary:Dan contributed significantly to the Logstash project by implementing features and refactoring the codebase. They added the ability to reset logging settings via the API, improving the logging context. Furthermore, the user ported parts of the memory queue and synchronous queue read clients to Java, including optimizations related to memory usage. They also introduced the Java plugin API and improved license reporting.
eventsstreamingloggingetl-frameworklogstash
elastic/elasticsearch
Apr 2019 - Apr 2022
Free and Open Source, Distributed, RESTful Search Engine
Role in this project:Back-end Developer
Back-end DeveloperContributions:312 reviews, 667 commits, 1301 PRs in 3 years
Contributions summary:Dan primarily worked on the core logic of the Elasticsearch codebase, making changes to settings validation, data stream handling, and exception handling within the Ingest module. Their contributions involved both bug fixes and new feature development, specifically adding functionality like data stream alias creation, supporting various data types and removing obsolete configurations. The user's work is critical to the functionality and stability of the Elasticsearch platform.
restfulsearch-engineopensearchelasticsearchjava
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