DevOps Engineer | AWS Architect | Automation Expert | Container Maestro (Docker, Kubernetes) | Infrastructure as Code Maestro | Azure DevOps

I am a self-driven and proactive DevOps engineer with hands-on experience in problem-solving for organizations. My primary goal is to create fault-tolerant and cost-effective cloud stacks while ensuring seamless product delivery. I am a strong advocate for automation and consider myself an avid lifelong learner.

Here are some of my technical highlights:

✅ Installation, configuration, and maintenance of Linux and Windows servers.
✅ Experience with ESXi server installation, configuration, and maintenance.
✅ Proficiency in cloud systems such as Amazon Web Services (AWS) and Microsoft Azure.
✅ Familiarity with various Azure services like AKS, Container Registry, SQL databases, App Insight, App Services, Key Vaults, Storage Accounts, Traffic Manager, and Load Balancer.
✅ Hands-on experience with AWS services like EC2, ECR, IAM, EKS, VPC, CloudFront, Load Balancer, S3, Elastic Beanstalk, and Lambda Functions.
✅ Knowledge of Docker and Kubernetes for containerization and orchestration.
✅ Expertise in version control systems like GitLab, GitHub, Bitbucket, and Azure Repos.
✅ Proficient in CI/CD tools such as Azure DevOps, Jenkins, Git CI/CD, GitLab CI, Bitbucket Pipelines, CodePipelines, CodeDeploy, GitHub Actions, Nagios, and Grafana.
✅ Experience working with SQL Servers like MSSQL, PostgreSQL, MySQL, MongoDb, RDS, and Azure SQL.
✅ Familiarity with Nginx and Apache for web server management and SSL Certificates.
✅ Skillful in configuration management tools like Ansible and Chef.
✅ Knowledge of Infrastructure as Code (IaC) tools like Terraform and CloudFormation.
✅ Experience with Service Mesh technologies like Consul and Istio.
✅ Proficient in application monitoring tools like Jaeger and New Relic.
✅ Familiarity with AWS API Gateway and Kong API Gateway.
✅ Experience with logging and monitoring tools such as Prometheus, Grafana, Nagios, ELK Stack, and APM.
✅ Knowledge of Pub-Sub and Queues technologies like SNS, Redis, SQS, Kafka, and RabbitMQ.
✅ Proficient in GitOps practices using Argo CD, Flux, and Jenkins X.
✅ Skilled in Bash and Python scripting.