Certified Kubernetes Application Developer, AWS DevOps Engineer Professional and Azure Associate. Experience in designing, deploy and managing mission critical applications and monitoring applications in cloud. Implemented DevOps principles in Windows, UNIX and Red Hat Linux platforms and designed CI/CD.

• Configured and worked extensively on AWS services like EC2, ELB, S3, Route53, IAM, VPC, RDS, DynamoDB, CloudTrail, CloudWatch, Elastic Cache, SNS, SQS, CloudFormation Template, CloudFront, Lambda, EMR and EBS.
• Hands on experience on Azure web application like Azure App and Cloud Services, Azure Data Factory, Azure SQL Data Warehouse, Azure Blob Storage, Web API, VM creation, ARM Templates, Key vault, Lift and Shift, Azure storage, Fabric controller, Azure AD, Azure search, and Notification hub.
• Integrated Terraform and Ansible across geographically separated hosting zones in AWS.
• Managed K8's charts using Helm and created reproducible builds of the Kubernetes applications.
• Expertise in creating Kubernetes HA clusters with multi zones in single region.
• Implemented a production ready, load balanced, highly available and fault tole rant K8's infrastructure.
• Deployed Python scripts via Terraform and AWS CloudFormation template to provision and manage on AWS.
• Worked with Terraform key features such as IAC, Execution plans, Resource Graphs, Change Automation and extensively used Auto scaling for launching Cloud instances while deploying microservices.
• Supported production environments and mission-critical tools administration in a zero-downtime framework.
• Migrated On-premises and Azure Classic instances to Azure ARM subscription with Azure Site Recovery.
• Experienced in branching, tagging, and maintaining the version across the environments using SCM tools like Git, GitLab, GitHub and Subversion (SVN) on Linux and Windows platforms.
• Composed and implemented Subversion and GIT metadata including elements, labels, attributes, triggers, and hyperlinks.
• Automated the front-ends platform into highly scalable, consistent, repeatable infrastructure using high degree of automation using Chef, Ansible, Vagrant, Jenkins, and CloudFormation Template.
• Designed and implemented CI/CD processes using CloudFormation and Terraform Templates.
• Developed CD pipelines in Azure DevOps and Jenkins and managed the IAC for all the application.
• Expertise in CI/CD DevOps pipeline to automate the infrastructure for services like Kubernetes, ingress, Cosmos DB, SQL server, AppInsights.
• Expertise in Tomcat, JBOSS, Samba, Web logic and Web Sphere application servers for deployments.
• Worked with Ansible playbooks for virtual instance provisioning, configuration management, patching and software deployment through automated tools, Ansible/Jenkins custom pipeline.
• Experience in Ansible setup, managed host file using YAML, authored various custom Ansible playbooks.
• Used repository management tools like Sonatype, Nexus, JForg and Artifactory to deploy and manage Artifacts.
• Extensive knowledge on Junit, automation testing across different environments as per the Agile methodology.
• Expertise in configuring the monitoring and alerting tools to setting up alerts and deployed multiple dashboards for individual applications in Kubernetes.
• Experience in root caused analysis of post-production performance-related issues through Splunk.
• Monitored the Splunk infrastructure for capacity planning, scalability, and optimization.
• Expertise in configuring log monitoring tools like ELK (Elastic Search, Logstash and Kibana), Nagios, Splunk, Filebeat and Grafana to monitor applications and logging tools like Dynatrace, Splunk and New Relic to monitor network services and host resources.
• Involved in Ticketing & Bug tracking tools like JIRA, Confluence and used SonarQube for automated code review.
• Work with compliance and information security teams to understand reported vulnerability and planned remediation.
• Good understanding of network and web related protocols like TCP/IP, UDP, HTTP, HTTPS, FTP, SMTP, DNS.
• Knowledge on NIST framework and implemented 3 Tier backend web application with PCI compliance.
• Hands on experience in using Hadoop ecosystem components like Hadoop, Hive, Sqoop, Cassandra, Spark, Spark Streaming, Spark SQL, Kafka, and Yarn.
• Experience in configuring Spark Streaming to receive real time data from the Apache Kafka and store the stream data to HDFS using Scala and integrated Hadoop with Kafka to upload stream data from Kafka to HDFS.