About
Highly skilled DevOps Engineer with 3+ years of progressive experience in automating CI/CD pipelines, containerization, and cloud infrastructure management on AWS. Expert in leveraging tools like Terraform, Ansible, Docker, and Kubernetes to optimize deployment workflows, enhance system reliability, and reduce operational costs. Proven ability to drive efficiency and ensure high availability in complex Linux-based environments.
Work
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Summary
As a DevOps Engineer for the Amazon Q Project, I optimize development workflows and enhance efficiency through robust SCM infrastructure and CI/CD pipeline management.
Highlights
Developed and implemented an Agile SDLC, refining Software Configuration Management (SCM) infrastructure to significantly optimize development workflows and enhance overall efficiency.
Leveraged AWS services (EC2, S3, RDS, ELB, ASG) to enhance application scalability, reducing downtime by 20% and ensuring 99.9% availability for critical applications.
Designed and managed integrated build pipelines using Jira, Git, Jenkins, and Chef, ensuring smooth deployment processes and continuous integration across development cycles.
Automated routine administrative tasks with Shell scripting and Chef, increasing operational efficiency by 15% and reducing manual effort for critical system maintenance.
Utilized Docker components (Engine, Hub, Compose, Artifactory) to optimize containerization and streamline deployment workflows, improving build and release cycles.
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Summary
As a Cloud Engineer for the General Electric Project, I designed and implemented automated cloud infrastructure, ensuring high availability and cost optimization.
Highlights
Designed and implemented automated cloud infrastructure provisioning using Terraform and CloudFormation, improving deployment speed by 25% and significantly reducing configuration drift.
Monitored critical cloud resources and workloads using AWS CloudWatch, Azure Monitor, and Grafana, ensuring proactive alerting and enhancing system reliability by 10%.
Automated system health checks, backups, and incident response routines using Lambda functions and EventBridge rules, reducing Mean Time To Resolution (MTTR) by 15%.
Integrated AWS Cost Explorer and Azure Cost Management to track resource usage, optimizing spending and achieving monthly cost savings through reserved instance recommendations and rightsizing.
Configured auto-scaling groups, load balancers, and health probes in multi-AZ AWS setups, ensuring fault tolerance and high availability of production workloads for 99.9% uptime.
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Summary
As a System Administrator, I managed Linux servers, automated basic tasks, and provided essential support for development and testing environments.
Highlights
Managed Linux servers for dev/test teams, handling updates, backups, and user access, ensuring continuous operation and data integrity.
Developed Shell scripts to automate log cleanup, disk space checks, and server health monitoring, improving system maintenance efficiency.
Assisted in onboarding Git and Jira for code management and task tracking, facilitating smoother collaboration for development teams.
Provided L1/L2 support for deployments and build issues, resolving critical problems quickly to minimize disruption for Dev teams.
Skills
Methodology
Agile, SDLC.
Configuration Management & Orchestration
Terraform, Ansible, Chef, Docker, Kubernetes, GitOps, Infrastructure as Code (IaC).
Cloud Platforms
AWS (EC2, S3, IAM, ELB, RDS, CloudWatch, Lambda, Route 53, ASG, EKS), Azure Monitor.
CI/CD & Version Control
Jenkins, Git, GitHub, Jira, Maven, GitHub Actions, Bitbucket Workflows.
Monitoring & Logging
CloudWatch, ELK (Elasticsearch, Logstash, Kibana), Grafana, Prometheus, Splunk.
Scripting Languages
Shell Scripting, Python.
Databases
PostgreSQL, DynamoDB, Redis.
Web Servers
Nginx, Apache Tomcat.
Operating Systems
Linux, Windows, Red Hat.
Cost Optimization
AWS Cost Explorer, Azure Cost Management, Rightsizing.
Security
IAM roles, Policies, Security Groups, Least-privilege principles.