About me
Senior DevOps Engineer with 10+ years of experience specializing in cloud-native infrastructure, CI/CD automation, and Site Reliability Engineering. I architect and deliver scalable, resilient solutions across multi-cloud platforms, helping organizations optimize their infrastructure and accelerate software delivery.
My expertise spans container orchestration, Infrastructure-as-Code, GitOps workflows, and comprehensive observability. I'm passionate about building automated, self-healing systems that reduce operational overhead while improving reliability. Throughout my career, I've consistently delivered measurable results in cost optimization, deployment efficiency, and system uptime.
What I'm doing
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Cloud Infrastructure & Platform Engineering
Currently managing production Kubernetes clusters on AWS EKS, Azure AKS, and GCP GKE. Implementing auto-scaling policies, pod disruption budgets, and multi-region failover strategies. Using Terraform and Helm for infrastructure provisioning, achieving 99.95% uptime SLA across all environments.
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CI/CD Pipeline Automation
Building Azure DevOps pipelines with YAML-based configurations, integrating SonarQube for code quality, Trivy for container scanning, and Checkmarx for security analysis. Implementing blue-green deployments, canary releases, and feature flags. Currently handling 100+ daily production deployments with <2% rollback rate.
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Monitoring & Site Reliability
Operating Prometheus federation for metrics aggregation across 50+ clusters, Grafana dashboards with custom SLO tracking, and ELK Stack processing 500GB+ daily logs. Configured PagerDuty integration with intelligent alert routing. Maintaining Mean Time To Detection (MTTD) under 3 minutes and MTTR under 30 minutes.
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Data Pipeline Engineering
Developing IBM InfoSphere DataStage jobs processing billions of financial transactions daily. Implementing real-time data validation, error handling, and reconciliation workflows. Managing Apache Airflow DAGs for orchestrating complex ETL workflows across 20+ data sources with 99.8% pipeline success rate.
Testimonials