Roscoe Pyell
Consulting Cloud Architect, SRE, DevOps Engineer Various Clients at IBM
Orlando, Florida, United States
Summary
👤
Senior🎓
Top SchoolRoscoe Pyell is a Consulting Cloud Architect and SRE/DevOps engineer with nine years of hands-on experience designing and automating cloud infrastructure across AWS, GCP, Azure and DigitalOcean for industries ranging from finance and healthcare to aerospace and education. He excels at large-scale migrations and modernizations—moving monolithic on‑prem apps into GKE microservices, building enterprise networks between GCP and on‑prem, and creating custom DR solutions with Terraform. A pragmatic automation enthusiast, he has extensive Jenkins, Terraform, Terragrunt, Ansible and Python experience and has written numerous operational playbooks and SAP installation pipelines. Roscoe also contributes to prominent open-source Python cloud client libraries, improving BigQuery documentation and API clarity for Google Cloud’s widely used projects. Based in Orlando, he balances deep systems troubleshooting (notably GCP networking) with rapid prototyping of complex proofs-of-concept like distributed video transcoding platforms. Though not actively seeking roles, he remains open to technical conversations and consultancy inquiries.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.S.) Information Technology, Bachelor of Science (B.S.) Information Technology at University of Central Florida
Stackoverflow
11reputation
54reached
1answer
0questions
Github Skills (10)
api-documentation10
google-cloud-platform10
bigquery10
python10
gcp10
code-readability9
python-lib9
google-sheets6
google-forms6
google-apps-script6
Programming languages (5)
Github contributions (5)
googleapis/google-cloud-python
Apr 2017 - Apr 2017
Google Cloud Client Library for Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 1 PR, 5 comments in 4 days
Contributions summary:Roscoe primarily focused on refining documentation and improving the clarity of parameter references within the BigQuery module of the Google Cloud Python client library. The contributions included updating parameter descriptions to accurately reflect their behavior and fixing line length and trailing whitespace issues for improved code readability. Additionally, the user added a more comprehensive API reference to enhance user understanding of the `timeout_ms` parameter.
gcpappenginepythongoogleclient-library
googleapis/python-bigquery
Apr 2017 - Apr 2017
Role in this project:Back-end Developer
Back-end DeveloperContributions:5 commits in 4 days
Contributions summary:Roscoe primarily contributed to improving the documentation and clarity of the BigQuery Python client library. Their commits focused on refining parameter descriptions, specifically the `timeout_ms` parameter, to better reflect its function within the API. Additionally, the user addressed line length issues and trailing whitespace, contributing to code readability and maintainability. Their work involved updating the API reference to enhance developer understanding.
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