CloudInfrastructureEngineer
Designing, implementing, and managing scalable cloud solutions that drive business value. Expertise in AWS, Azure, and GCP.
About Me
I'm a seasoned Cloud Infrastructure Engineer with over a six years of experience designing, implementing, and managing cloud environments for organizations ranging from startups to Fortune 500 enterprises.
My technical expertise spans AWS, Azure, and GCP platforms, with a particular focus on infrastructure as code, containerization, and building secure and scalable cloud architectures.
I take pride in creating elegant solutions to complex infrastructure challenges, always with an eye toward maintainability, security, and cost optimization.
Professional Profile
Certifications
Areas of Expertise
Experience
My Expertise
Specialized skills and services across the cloud infrastructure landscape
Cloud Architecture
Designing resilient, secure, and scalable architectures on AWS, Azure, and GCP. Multi-region and multi-account strategies for enterprise needs.
Infrastructure as Code
Automating infrastructure with Terraform, CloudFormation, and Pulumi. Version-controlled, repeatable infrastructure with CI/CD integration.
Containerization
Building and managing containerized workloads with Kubernetes, Docker, and cloud container services. Service mesh and microservices implementations.
Observability
Implementing comprehensive monitoring, logging, and alerting solutions. Prometheus, Grafana, ELK stack, and cloud-native observability tools.
Database Solutions
Managing SQL and NoSQL database systems in the cloud. Migration, optimization, high availability, and disaster recovery strategies.
CI/CD Pipelines
Building automated deployment pipelines with GitHub Actions, Jenkins, and GitLab CI. Continuous delivery and GitOps workflows for reliable deployments.
Featured Projects
Enterprise CI/CD Pipeline Modernization
Designed and implemented a comprehensive CI/CD pipeline for a financial services company that needed to accelerate deployment while maintaining PCI compliance. Created infrastructure as code using Terraform for repeatable, version-controlled deployments with automated security scanning and compliance checks.
Reduced deployment time from 2+ hours to under 15 minutes
Achieved 99.8% pass rate on automated security and compliance checks
Increased deployment frequency from bi-weekly to daily releases
Incident Response Automation System
Developed an automated incident triage and response system in Python for on-call engineers who were overwhelmed with alerts. Created runbooks for common incidents with automated remediation workflows and implemented severity-based routing with real-time monitoring dashboards.
Reduced mean time to resolution (MTTR) by 65%
Automated resolution of 78% of common incidents
Decreased after-hours interruptions by 82%
Multi-Account AWS Security Framework
Architected a comprehensive multi-account AWS strategy with dedicated security, shared services, and workload accounts for an organization that needed a scalable security framework while maintaining PCI compliance. Implemented AWS Organizations with Service Control Policies and custom AWS Config rules.
Achieved 100% compliance score during PCI audit
Reduced security incidents by 75%
Implemented real-time vulnerability detection and remediation
Cloud Cost Optimization Initiative
Built custom cost analysis dashboards and reports for an organization with rapidly increasing cloud infrastructure costs. Implemented automated resource scheduling, right-sizing recommendations, tagging policies, and a Reserved Instance optimization strategy.
Reduced monthly cloud spend by 32% ($158,000 annual savings)
Identified and eliminated unused resources worth $45,000/year
Implemented auto-scaling policies that reduced compute costs by 28%
Microservices Monitoring and Observability Platform
Implemented comprehensive APM tooling across all services for an organization that lacked visibility into distributed microservices. Created standardized logging formats with centralized aggregation, deployed distributed tracing, and built custom dashboards for service health monitoring.
Reduced time to identify root cause of issues by 85%
Improved application performance by identifying and resolving latency bottlenecks
Created proactive alerting based on anomaly detection