Professional Summary
Automation Engineer with 6 years of experience designing CI/CD pipelines, orchestrating cloud infrastructure, and improving deployment reliability. Specialises in Python automation, container orchestration, and cross-team DevOps enablement. Passionate about reducing cycle times and fostering observability across engineering workflows.
Skills
- Ci/Cd
- Python
- AWS
- GCP
- Kubernetes
- Jenkins
- Github Actions
- Communication
- Azure
- GO
- Docker
- Terraform
- Observability
- Infrastructure as Code
Experience
Automation Engineer — HeadSpin
- Designed and oversaw GitHub Actions pipelines that reduced build time by 30% and improved release cadence.
- Created Terraform modules for multi-cloud environments, ensuring compliance with security benchmarks while enabling self-service provisioning.
- Introduced observability dashboards that decreased incident resolution time by 45% and improved SRE feedback loops.
- Coached cross-functional teams on DevOps best practices, increasing deployment frequency and lowering rollback rates.
- Automated test data generation and environment teardown, cutting manual QA prep time by 60%.
Test Engineer — MSR Technology Group
- Developed Python test frameworks that accelerated API validation cycles and improved coverage by 75%.
- Partnered with product teams to embed quality gates in CI pipelines, reducing post-release defects by 40%.
- Standardised containerised test environments using Docker Compose, simplifying onboarding and reducing environment drift.
- Facilitated bi-weekly quality reviews that aligned engineering and business objectives around measurable outcomes.
- Spearheaded automation workshops that upskilled 30+ engineers in testing fundamentals and observability tooling.
Education
B.S. Electrical Engineering
University of British Columbia
Certifications
- AWS Certified DevOps Engineer
- Certified Kubernetes Administrator