Sr.Devops Engineer | Site Reliability Engineer
CurrentEnvironment: Azure, AWS, Azure Boards, Azure Repos, Azure DevOps Pipeline, Amazon DynamoDB, AWS RedShift, Shell, Python, Docker, Terraform, Ansible, AKS, Openshift, Helm, Groovy, SonarQube, My SQL, Postgres, Snowflake, Promethus, Grafana, Splunk, Git, Maven, Dynatrace.Worked with both Azure and AWS Multi-Cloud, did setup Azure Data Platforms using Azure Data Factory, Azure Databricks and Azure Data Lake Storage by setting up Self Hosted Integration Runtime and also integrated with Snowflake SaaS Cloud Warehouse and Implemented AWS solutions like EC2, S3, IAM, Elastic Load Balancer(ELB), EBS, EKS, Security groups, Auto scaling Group, CloudFront CDN, Route53 Route management using Cloud Formation/Terraform templates.• Integrated Dynatrace with Jenkins, Jira, and ServiceNow for correlated deployment and issue tracking.• Utilized Datadog for real-time log monitoring, analysis, and visualization in DevOps.• Implemented Datadog APM to trace and analyze application performance for optimization.• Successfully migrated Java Tomcat containers from On-Prem to AWS BeanStalk.• Managed SQL database migrations, specifically to Azure SQL Elastic Pool.• Implemented Azure App Services with Blue-Green deployments for efficient release management.• Deployed and managed API Gateway solutions to enhance connectivity and control.• Utilized Terraform Modules to set up CosmosDB for scalable and reliable data storage.• Deployed applications using Azure Functions, Docker containers, and Kubernetes clusters.• Expertise in Grafana for monitoring, Terraform for infrastructure automation, Ansible for configuration management, and Splunk for log monitoring.• Proficient in Azure DevOps, Git, Bitbucket, and CI/CD pipelines for Spring Boot microservices and React, Angular applications.• Managed Kubernetes clusters, ensuring fault-tolerant systems and scalable infrastructure.• Utilized APM tools such as New Relic and Dynatrace for application performance monitoring.