Daniel Donovan
Software Engineer at OrangeSlices AI
Seattle, Washington, United States
Summary
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SeniorDaniel Donovan is a Seattle-based software engineer with 8 years of experience spanning full-stack development, data engineering, and bioinformatics pipelines. He specializes in turning research workflows into production-grade systems, delivering scalable web interfaces, robust PostgreSQL schemas, and cloud-native ETL pipelines on AWS. At OrangeSlices AI, he designed Flask UIs, built ground-up databases, deployed AWS RDS, created serverless ETL with Lambda/Step Functions/S3, and automated Docker images and CI/CD with GitHub Actions and ECR to ensure reproducibility. His prior roles at G2Xchange and TuBiomics include web scraping, data ingestion into Elasticsearch and PostgreSQL, Nextflow-based genomics pipelines, and infrastructure-as-code with Terraform on EC2/GPU clusters. He emphasizes traceability, logging, and auditability in data processing and has a track record of bridging research tools with production-grade tooling for reliable analytics. Based in Seattle, Daniel combines hands-on coding with a pragmatic eye for performance, security, and reproducibility.
9 years of coding experience
17 years of employment as a software developer
Github Skills (145)
documented9
duplication9
flask-api9
flask-restplus9
adapter9
api8
rest8
flask8
flask-restful8
overlap8
apscheduler8
illumina8
multiprocessing8
fastq8
sequencing8
Programming languages (12)
Github contributions (5)
spitfiredd/test-versioing-action
Jul 2023 - Aug 2023
Contributions:2 releases, 51 PRs, 92 pushes in 1 month
tubiomics/documentation
Feb 2022 - Jul 2023
Static Site for docs
Contributions:1 review, 20 PRs, 23 pushes in 1 year 5 months
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