Senior systems specialist focused on building resilient, automated, and highly available architectures. I bridge the gap between enterprise systems management and modern cloud-native practices by applying software engineering principles to infrastructure and data durability.
My core focus is eliminating operational toil, designing declarative systems, and engineering high-fidelity disaster recovery automation to safeguard business continuity at scale.
| Category | Tools & Technologies |
|---|---|
| Cloud & Platforms | AWS • Azure • VMware vSphere • Linux Systems (RHEL/Ubuntu) |
| Infrastructure as Code | Terraform • OpenTofu • Ansible • CloudFormation |
| Containers & Orchestration | Docker • Kubernetes (EKS / AKS) • Helm |
| CI/CD & Automation | GitHub Actions • GitLab CI • Python • Bash Scripting |
| Data Resilience & SRE | Automated DR Orchestration • High Availability (HA) Clusters • Storage Systems |
- Declarative Infrastructure: Architecting modular, reusable Terraform blueprints to enforce immutable infrastructure patterns.
- Data Resilience Engineering: Transforming enterprise data backup policies into automated, self-healing cloud recovery paths to minimize RTO/RPO metrics.
- Continuous Delivery: Building secure CI/CD pipelines with automated linting, security scanning, and automated canary/blue-green rollouts.
- System Observability: Implementing foundational telemetry to manage platform drift, system availability, and platform health metrics.