Keegan Davis
Georgetown, TX | 512-750-9553 | keegan.davis96@gmail.com | LinkedIn | GitHub
DevOps & Cloud Engineer
GCP Certified (ACE) engineer with a background in Data Science and Analytics. Specialized in resilient, cloud-native infrastructure using Terraform, Docker, and GCP.
Expert in automating operational workflows and implementing secure CI/CD with Blue/Green strategies. Currently managing production-level containers and IaC.
Technical Skills
- Cloud/IaC: GCP, AWS (Exp), Linux (Debian/Ubuntu), Bash, Terraform (Modules, State), Ansible.
- Containers: Docker, Kubernetes (GKE), Helm, ArgoCD, IAM.
- CI/CD & Release: GitHub Actions (WIF, Blue/Green), Jenkins, Artifact Registry, Secret Manager
- Observability/Reliability: OpenTelemetry (OTel), Prometheus, Grafana (Loki, Tempo), k6 (Load Testing), SLOs.
- Data/Backend: Python (FastAPI, Flask, Pandas), SQL (PostgreSQL, Snowflake, BigQuery), Go (Exposure), ETL, Tableau, Looker, Plotly.
Experience
Cloud Infrastructure Specialist (Technical Consultant) - DataAnnotation | Remote | Aug 2023 - present
- Infrastructure Validation: Design and peer-review production-grade Terraform modules and Kubernetes configurations, ensuring adherence to the Well-Architected Framework (Security, Reliability, Cost).
- Rapid Debugging: Troubleshoot and resolve complex containerization (Docker) and CI/CD (GitHub Actions/Jenkins) bottlenecks across diverse tech stacks to provide high-fidelity training data.
- Reference Architecture: Authored 100+ technical implementations involving GCP/AWS networking, IAM least-privilege, and observability (Prometheus/Grafana) to define "Ground Truth" for LLM infrastructure logic.
Additional experience in high-throughput retail operations (H-E-B) and healthcare administration (2014-2023).
Projects
End-to-End Sports Data Platform (GCP/SRE Focus) | Link
- Architecture: Built a FastAPI microservice on Cloud Run with a PostgreSQL (Cloud SQL) backend and GCS data lake.
- Release Engineering: Engineered a Zero-Downtime Blue/Green deployment pipeline using GitHub Actions and Cloud Run traffic splitting to protect the production environment.
- Observability: Instrumented app with OpenTelemetry; used the LGTM stack (Loki, Grafana, Tempo, Prometheus) and k6 to identify and resolve database bottlenecks under heavy load.
- Security & IaC: Codified the entire stack in Terraform; implemented Workload Identity Federation (WIF) for keyless CI/CD and least-privilege IAM enforcement.
Cloud-Native Portfolio & API (GCP) | Link
- Infrastructure: Orchestrated a global HTTPS Load Balancer with CDN and GCS backend via Terraform.
- CI/CD: Built a multi-stage pipeline for automated testing, Docker builds, and Terraform plan/apply cycles.
Education & Certifications
Google Cloud Associate Cloud Engineer (ACE) - 2025
B.S., Biology - Texas A&M University (3.73 GPA, completed in 2.5 years)
Data Analytics Certificate - UT Austin Bootcamp