Satish Namala

Dedicated Cloud Engineer around 7 years of experience in windows Administration, Cloud Infrastructure management and Implementation, Adobe Experience Manager (AEM) environments, adept at creating robust CI/CD pipelines, optimizing infrastructure, and automating operations to enhance efficiency and reliability. looking to leverage my broad range of Cloud skills and experience to utilize devops engineering to produce automated, reliable and scalable AWS, Azure Cloud and AMS. Expertise in Azure Development worked on Azure web application, App services, Azure storages ( Azure Blob, Azure Table, Azure StorSimple) Azure SQL, No SQL Database, Network services, Azure Virtual Machines, Azure Autoscaling, Azure AD, Azure Network Watcher, Azure search, Azure Stream Analytics, Azure Time Series Insights, Azure DNS, Azure VPN Gateway, Notification hub &Azure IOT. Implemented Azure Storage, Azure SQL Azure Services and developing Azure web role. Excellent knowledge in Azure compute services, Azure web apps, Azure Data Factory & Storage, Azure Media & Content delivery, Azure Networking, Azure Hybrid Integration and Azure Identity & Access Management. Expertise in migrating the existing v1 (Classic) Azure infrastructure into v2 (ARM), scripting and templating the whole end to end process as much as possible so that it is customizable for each area being migrated. Configuring the Azure Load Balancer to Load balance incoming traffic to virtual machines. Expertise in setting up enterprise infrastructure on Amazon Web Services ( AWS) using services such as AWS EC2, VPC (NAT, Peering, VPN), IAM, EC2 Container service, Elastic Beanstalk, Lambda, S3, Cloud Front, Code pipeline, Code Deploy, Glacier, RDS, Dynamo DB, Elastic Cache, Red shift, Direct Connect, Cloud watch, Cloud Formation, Cloud Trial, Ops works, Amazon Elastic Map Reduce (EMR), AWS IoT, SNS, SQS, Lambda, API Gateway, AWS Alexa. Experienced Cloud and DevOps engineer in Automating, Configuring and deploying instances on AWS, AZURE Cloud environments and Data centers. Involved in High Availability and secure multi AZ AWS cloud infrastructure using Chef with AWS cloud Formation and Jenkins for continuous Integration. Experience in core AWS services (S3, EC2, ELB, EBS, Route53, VPC and Auto Scaling ) and having in deployment services (Elastic Beanstalk, Ops Works and Cloud Formation) and security practices (IAM, Cloud Watch and Cloud Trail). Expertise in creating pods and clusters in Kubernetes and deploy those using OpenShift. Good understanding of OpenShift platform in managing Docker containers and Kubernetes Clusters. Experience in developing APIs using Kubernetes to manage and specify the copies of the containers to run the actual servers in the cloud environment. Scheduled, deployed and managed container replicas onto a node cluster using Kubernetes. Core Aws Experience in developing CI/CD system with Jenkins on Kubernetes container environment and utilizing Kubernetes and Docker for the runtime environment for the CI/CD system to build, test and deploy. Worked on various Docker/Kubernetes components like Docker Engine, Hub, Machine , Compose and Docker Registry. Expertise in using the Docker for virtualization, Ship, Run and Deploy the application securely to fasten the Build/Release Engineering. Virtualized the servers using the Docker for the test environments and dev - environment needs. Docker applications by creating Docker images from Docker file. Experience on Ansible and Ansible Tower to automate repetitive tasks, to deploy critical applications quickly, and proactively manage the changes and wrote many playbooks to manage Web applications. Extensively worked on Jenkins and Hudson for Continuous Integration and for all builds and deployments and used Jenkins AWS code deploy plugin to deploy reliably and rapidly. Hands on experience in creating various kinds of build jobs in Jenkins such as pipeline project, multi-configuration, freestyle, and parameterized triggered builds, etc. Developed microservice on boarding tools leveraging Python and Jenkins allowing for easy creation and maintenance of build jobs and Kubernetes deploy and services. Good knowledge in DevOps which includes platform and technologies like Git, GitHub, Subversion, Ant, Maven, Jenkins, Hudson, Bamboo, Ansible, Puppet, Chef, Docker, Kubernetes, Tomcat, Java, JBoss, and Unix/Linux etc. Experience in writing XML, Ant scripts, shell scripts, Perl scripts, Java scripts, Python, Ruby, Chef, Puppet, Kitchen scripts to automate the deployments. In-depth knowledge of computer applications and scripting like Shell, Ruby, Groovy, Python, Perl, and XML. Utilized MySQL, MongoDB, DynamoDB and Elastic cache to perform essential database administration. Implementation of various applications using system monitoring tools and Technical Expertise on Nagios, New Relic. Exposed to all aspects of Software Development Life Cycle (SDLC) and In-depth understanding of the principles and best practices of Software Configuration Management in Agile, waterfall methodologies. Experience in Converting existing AWS Infrastructure to Server less architecture (AWS Lambda, Kinesis), deploying via Terraform and AWS Cloud Formation templates. Involved in JIRA as defect tracking system and configure various workflows, customizations and plugins for JIRA bug/issue tracker, integrated Jenkins with JIRA, GitHub.