Daniel Moran
Site Reliability Engineer at Ashby
Corona, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDaniel Moran is a Site Reliability Engineer with 12 years of experience building and operating large-scale, data-driven systems across startups and research institutions. He has driven measurable impact—cutting CI costs by $85k/month, slashing test times from hours to minutes, and reducing P90 response times by over 80%—while leading migrations from bespoke stacks to managed cloud platforms. His open-source work spans InfluxDB and Akka, contributing Docker image improvements, storage-engine optimizations, and complex Akka Streams refactors that reveal deep systems and concurrency expertise. At Broad he architected ETL and cloud infrastructure that centralized hundreds of terabytes of genomic data, and at Color he standardized monorepo builds and accelerated deployments. Comfortable in both hands-on code and incident leadership, he combines SRE rigor with backend engineering chops to make systems faster, cheaper, and more reliable. Based in Corona, CA, he pairs pragmatic tooling choices with an eye for long-term maintainability—a pattern visible across his public contributions and production systems.
12 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Northeastern UniversityTech Prep Software Development and Game Design, Tech Prep Software Development and Game Design at South Stark Career AcademyHigh School, High School at Minerva High School
Github Skills (48)
timeseries-database10
docker10
pytest10
python10
scripting10
testing10
bash10
build-system10
akka10
dockers10
cicd10
java10
vcf-files10
scala10
data-storage10
Programming languages (16)
Github contributions (5)
influxdata/influxdata-docker
Jan 2021 - Nov 2021
Official docker images for the influxdata stack
Role in this project:
DevOps Engineer
DevOps EngineerContributions:29 reviews, 50 commits, 43 PRs in 10 months
Contributions summary:Daniel focused on improving the Docker image build and deployment processes for the InfluxData stack. Contributions included deleting and modifying test scripts related to nightly InfluxDB builds, and adding a new alpine image for InfluxDB 2.0. Furthermore, the user made changes to the entrypoint scripts, addressing DockerHub review feedback by implementing code improvements and using best practices.
dockerinfluxdatainfluxdbgrafanadocker-images
influxdata/influxdb
Nov 2020 - Nov 2021
Scalable datastore for metrics, events, and real-time analytics
Role in this project:Back-end Developer
Back-end DeveloperContributions:2 releases, 1077 reviews, 499 commits in 1 year
Contributions summary:Daniel primarily focused on improving the stability, reliability, and maintainability of the InfluxDB core. Their contributions involved removing and updating logic related to retention policies and time series data. The user's work was centered on fixing bugs, and improving the functionality and accuracy of the data stored and managed by the system. The code changes demonstrate the user's involvement in key components of the InfluxDB architecture.
real-time-analyticsscalablereactanalyticsevents
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.