DevOps Engineer specializing in cloud infrastructure, CI/CD automation, and Infrastructure as Code. Building resilient systems across Azure & AWS.
I'm a DevOps engineer with a foundation built on military discipline and a passion for systematic thinking to achieve greater effeciency, security, and resiliency. From cloud infrastructure and netowrking, to data management and CI/CD pipelines, I bridge the gap between development and operations.
My work spans Azure and AWS cloud environments — designing Infrastructure as Code solutions with Terraform and orchestrating deployments with GitHub Actions, Azure Devops, Jenkins, and Octiopus Deploy. I build scalable, cost-efficient systems to meet operational needs.
I've documented many of my projects on Medium, sharing practical guides for addressing real-world DevOps problems — from autoscaling EC2 fleets to ARM templates and Docker orchestration.
Deep dive into Azure Resource Manager templates for repeatable, auditable infrastructure provisioning across environments.
Read on MediumProvisioning a full CI/CD pipeline and S3-hosted static website end-to-end using Terraform — from repo to live deployment.
Read on MediumLeveraging modular Terraform design patterns — inspired by military equipment modularity — for reusable, maintainable IaC at scale.
Read on MediumBuilt an auto-scaling EC2 group to handle holiday-season traffic spikes — dynamic scaling policies, launch templates, and load balancing.
Read on MediumSpin up a production-ready Jenkins CI server on an EC2 instance entirely through Terraform — reproducible and version-controlled.
Read on MediumCost-optimization through automation — using AWS Lambda and EventBridge to shut down non-production EC2 instances on a schedule.
Read on MediumMy resume is available for download below. For a full picture of my work, explore my published articles on Medium — each one is a documented, real-world DevOps solution.
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Open to DevOps, Cloud Engineering, and Platform Engineering roles. I bring military discipline, cloud-native expertise, and a bias for automation.