Carter Landis is a pragmatic data engineer and software engineer with 8 years of experience building reliable data pipelines and owning the infrastructure that runs them. Based in Denver, he has hands-on expertise with Airflow, Kubernetes, Terraform, Kafka, AWS, dbt, PostgreSQL and Trino, and has delivered measurable performance gains like halving batch processing time and reducing load on primary warehouses. At Gusto he shipped production datashares, automated de-anonymization for high-volume event pipelines, and streamlined ML model delivery to cut deployment time from days to hours. He contributes to open-source infrastructure work—helping modularize installation and build processes for the CHAOSS Augur project—bringing a DevOps mindset to backend systems. Known for reducing on-call toil through robust retry logic and automation, he combines engineering rigor with a knack for improving developer velocity. Beyond technical delivery, he frequently translates complex infrastructure needs into pragmatic, stakeholder-facing solutions that unlock analytics and marketing use cases.
8 years of coding experience
7 years of employment as a software developer
Diploma High School/Secondary Diplomas and Certificates, Diploma High School/Secondary Diplomas and Certificates at McKinney High School
Python library and web service for Open Source Software Health and Sustainability metrics & data collection. You can find our documentation and new contributor information easily here: https://oss-augur.readthedocs.io/en/main/
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:8 releases, 84 reviews, 1037 commits in 3 years
Contributions summary:Carter was primarily responsible for compartmentalizing the installation process by modularizing it into separate scripts, and for creating and maintaining the build process, especially for testing purposes. They were responsible for checking Python versions and dependencies. They also contributed to database creation and maintenance. These changes indicate a focus on the backend infrastructure and DevOps related tasks, improving the project's build, setup, and development process
Working Group focused on Evolution metrics (for software development projects)
Contributions:54 pushes, 31 branches in 11 months
evolutionfocusedmetricsworking-groupmonitoring
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