• Built pipelines for CI-CD-CT to implement automation of various projects and also help in reducing mean time to deliver and eliminating repetitive manual work.• Lead and integrated SonarQube server with Azure DevOps organizations to have development best practices in order to avoid and accumulating technical debt.• Reduced Cloud overage cost for team by implementing policies, tagging strategy for resources and aligning to FinOps Strategy.• Monitored mission critical infrastructure and services using Dynatrace (APM) by creating dynamic dashboards and triggers to avoid any major issues that may cause downtime of business-critical services.• Automated deployment of cloud Infrastructure by IaaC using Terraform and Azure pipelines.• Built PowerBI Reports and Dashboard to visualize various logs of internal business critical process for multiple stakeholders to make data driven decisions.• Expertise in writing Dockerfile to containerize and push the image to Azure container registry in automated way using azure pipelines.• Provide, Developed and Integrated Cloud and DevOps Solution for MLOps, DataOps and other functional teams.• Integrated Jira with Azure DevOps using sync up tool to have requirements from Jira into Azure DevOps.• Implemented DevOps best practices within team such as static code analysis, Infrastructure as Code, Security, Automation CI-CD pipelines. Version Control branching policy, Monitoring, Agile planning and Documentation.• Passionate about ML- Data Engineering, Cloud, Security and Automation. • Possess a continuous learning attitude, problem solving, communication, analytical skills and teamwork.

• Used AWS Route53, to route the traffic between different availability zones. Deployed and supported Mem-cache/AWS Elastic Cache and then configured Elastic Load Balancing (ELB) for routing traffic between zones.• Worked on AWS cloud watch for monitoring the application infrastructure and used AWS email services for notifying & configured S3 versioning and lifecycle policies to and backup files and archive files in Glacier. • Utilized AWS CLI to automate backups of ephemeral data-stores to S3 buckets, EBS and created AMIs for mission-critical production servers as backups and used Elastic Beanstalk for deploying and scaling web applications and services developed with Java, Node.js, and Python on familiar servers like Apache, Nginx, Tomcat. • Automated the front-ends platform into highly scalable, consistent, repeatable infrastructure using high degree of automation using Vagrant, Jenkins, and CloudFormation.• Used AWS Lambda to Automate log handling process for blacklisting bad IPs in AWS Web Application Firewall (WAF). • Worked on AWS Lambda functions in python for AWS's Lambda which invokes python scripts to perform various transformations and analytics on large data sets in EMR clusters. • Integrated the AWS Cloud watch to Splunk using a Lambda function to automatically create the triggers and generate the alerts for the monitoring metrics. • Created Lambda function to automate snapshot back up on AWS and set up the scheduled backup.• Worked on implementing production-ready, highly available, fault-tolerant Kubernetes infrastructure and worked on scheduling, deploying, and managing container replicas on node cluster using Kubernetes. • Implemented Microservices in load-balanced, highly available, fault-tolerant Kubernetes. • Implemented a Continuous Delivery pipeline with Docker, Ansible, Jenkins and GitHub, Nexus Maven and AWS AMI's.