Automated Cloud Cost Optimization Tool
→
Summary
Developed a personal project consisting of a Python script designed to analyze AWS usage patterns and recommend cost-saving opportunities.
Highly accomplished Senior DevOps Engineer with over a decade of progressive experience in designing, implementing, and optimizing scalable, secure, and highly available cloud infrastructure and CI/CD pipelines. Expertly leverages AWS, Kubernetes, and Terraform to automate operational processes, significantly reducing costs by up to 25% and accelerating software delivery by 30-50%. Proven leader in fostering DevSecOps collaboration, improving system uptime to 99.99%, and mentoring teams to drive continuous improvement in dynamic environments.
Senior DevOps Engineer
→
Summary
Led the design and implementation of robust AWS cloud infrastructure and CI/CD pipelines for 15+ microservices, significantly enhancing deployment efficiency and system reliability.
Highlights
Led the design and implementation of fault-tolerant AWS cloud infrastructure using Infrastructure as Code (IaC) with Terraform, reducing provisioning time by 80% and ensuring consistency across 15+ microservice environments.
Developed and optimized CI/CD pipelines with Jenkins and GitLab CI for over 15 microservices, resulting in a 50% reduction in deployment failures and a 30% increase in deployment frequency.
Managed and scaled Kubernetes clusters for container orchestration, improving application uptime to 99.99% and enabling seamless scaling for peak loads while optimizing resource utilization.
Implemented comprehensive monitoring and alerting solutions using Prometheus, Grafana, and ELK stack, proactively identifying and resolving system bottlenecks to prevent user impact.
Automated critical operational tasks through Python and Shell scripting, saving the operations team approximately 20 hours of manual effort weekly and enhancing overall team efficiency.
DevOps Engineer
→
Summary
Managed cloud migration and automated deployment processes for Java and Node.js applications on AWS, achieving substantial cost reductions and improving system stability.
Highlights
Migrated 10+ on-premise applications to AWS cloud, optimizing resource utilization and achieving a 25% reduction in infrastructure costs.
Built and managed automated deployment scripts for Java and Node.js applications leveraging Ansible and Docker, streamlining software releases and reducing manual effort.
Configured and maintained robust version control systems (Git, Bitbucket) and artifact repositories (Nexus), ensuring code integrity and efficient release management.
Participated actively in incident response and root cause analysis, implementing preventative measures that enhanced overall system reliability and minimized downtime.
Developed custom dashboards and reports for system performance and application health metrics, providing critical insights for proactive system management.
System Administrator
→
Summary
Maintained critical IT infrastructure, including Linux and Windows servers, and provided essential technical support, ensuring optimal system performance and reliability.
Highlights
Managed and maintained critical Linux and Windows servers, ensuring optimal performance, security, and stability for internal operations.
Executed regular system backups and developed disaster recovery plans, significantly improving data integrity and business continuity.
Provided comprehensive technical support for internal IT infrastructure and end-users, resolving issues efficiently and minimizing downtime.
Performed proactive network troubleshooting and implemented security protocols, enhancing overall system resilience and user experience.
→
Master of Science
Computer Science
→
Bachelor of Science
Information Technology
Issued By
Amazon Web Services
Issued By
Cloud Native Computing Foundation
Issued By
HashiCorp
AWS (EC2, S3, VPC, Lambda, RDS, EKS, CloudFormation, CloudWatch), Azure.
Jenkins, GitLab CI/CD, GitHub Actions, Ansible, Terraform, Chef, Puppet, Nexus, Artifactory.
Docker, Kubernetes, Helm.
Linux (Ubuntu, CentOS, RHEL), Windows Server.
Python, Bash, Go, JavaScript.
Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, Datadog.
Git, GitHub, GitLab, Bitbucket.
MySQL, PostgreSQL, MongoDB, Redis.
TCP/IP, DNS, VPN, Firewalls, Load Balancers.
Agile, Scrum, ITIL, DevOps, SRE, DevSecOps.
→
Summary
Developed a personal project consisting of a Python script designed to analyze AWS usage patterns and recommend cost-saving opportunities.
→
Summary
Designed and implemented a serverless data pipeline on AWS for real-time log processing.