Nicholas Lang
Principal Engineer at Unstructured
Fort Collins, Colorado, United States
Summary
🤩
Rockstar🎓
Top SchoolNicholas Lang is a Principal Engineer with 16 years of experience designing and operating scalable infrastructure and data platforms, currently leading engineering at Unstructured. He combines deep hands-on skills in IaC (AWS CDK, CDK8s, Terraform), Kubernetes operations, and Python/JavaScript development with a track record of architecting Data Lakes, ETL pipelines, and cross-cloud cost and capacity analysis tools. His tenure at Elastic and Docker includes building production-grade services like Docker Hub and contributing to the official Elasticsearch Python client—improving deps, Docker-based examples, and SSL support. Known for making complex systems user-friendly and well-documented, he bridges developer experience and platform reliability to accelerate data-driven teams. Based in Fort Collins, Colorado, he pairs a mathematics degree with pragmatic engineering discipline and a long history of open-source collaboration. An often-overlooked strength is his ability to translate cost and capacity telemetry into operational decisions that measurably reduce cloud spend.
16 years of coding experience
15 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Colorado State University
Github Skills (13)
elasticsearch-api10
elasticsearch10
elasticsearchquery10
webclient10
docker10
aws-elasticsearch10
devops10
python10
dockers10
clientside10
amazon-elasticsearch10
ssl9
urllib9
Programming languages (20)
Github contributions (5)
elastic/elasticsearch-py
May 2017 - Jun 2019
Official Python client for Elasticsearch
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:123 commits, 126 PRs, 177 pushes in 2 years 1 month
Contributions summary:Nicholas primarily focused on improving the project's infrastructure and dependencies. They updated the project's dependencies, specifically bumping the requests library. Additionally, the user created a script to run Elasticsearch in a Docker container and added support for SSL context configurations. Further contributions include updating documentation and adding examples related to the project.
pythonclient-libraryelasticelasticsearchsearch
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