Devops Engineer Aws

Location:

Liberty Hill, TX

Posted:

June 01, 2023

Contact this candidate

Resume:

Pavan Kishore,

Ph: 510-***-****,

Email: adxgmq@r.postjobfree.com

Around 9 years of experience in IT with experience in cloud (GCP, AWS AND AZURE), Build & Release Engineer, Linux, CI/CD and with DevOps Tools.

•Exposed to all aspects of the software development lifecycle (SDLC) such as Analysis, Planning, and Developing, Testing, and Implementing Post-production analysis of the projects using methodologies such as Agile, Scrum Models.

•Worked on creating Cloud Formation templates for dev, test, staging and production.

•Experiences in setting up and maintaining worker nodes on Amazon EKS using Terraform and CloudFormation.

•Used AWS lambda to run servers without managing them and to trigger to run code by S3 and SNS.

•Experience in Branching, Merging, Tagging, and maintaining the version across the environments using SCM tools like Subversion SVN, GIT, TFS and VSS.

•Hands on experience with AWS services like (Route53, VPC, EC2, S3, ELB RDS, Auto scaling etc...) and deployment services (AWS OpsWorks and cloud Formation, EKS) and security practices (IAM, cloud watch and cloud trail) and services Lambda, EMR, RedShift, Elastic Bean Stalk, SNS, EKS - Fargate, IAM, SQS and Direct connect.

•Efficient in assigning desired configuration to the cluster services with the help of KUBERNETES and Creating EC2 instances with Docker.

•Automated deployment operations using various tools in DevOps, Configuration Management, Cloud Infrastructure using Jenkins, Maven, Dockers, AWS, GIT, Linux etc.

•Build servers using AWS including importing volumes, launching EC2, creating security groups, auto-scaling, load balancers in the defined virtual private connection.

•Configured VMs availability sets using Azure portal to provide resiliency for IaaS based solution and scale sets using Azure Resource Manager to manage network traffic.

•Expertise in implementing DevOps culture through CI/CD tools and configuration management tools like Chef, Puppet &amp, Ansible.

•Knowledge on Google Cloud Platform (GCP) for developers to build, host, store and deploy applications on Google’s highly

scalable, reliable infrastructure for web, mobile and backend solutions.

•Knowledge in GCP products including App Engine, Compute Engine, Cloud Storage, Big Data, Deployment Manager, Services.

•Created Azure Automation Assets, Graphical runbooks, PowerShell runbooks that will automate specific tasks. Expertise in deploying Azure AD Connect, configuring ADFS authentication flow, ADFS installation using Azure AD Connect.

•Implemented Terraform modules for deployment of various applications across multiple cloud providers, managing infrastructure.

•Build and used CloudFormation\ Terraform templates to design and launch Infrastructure resources.

•Focusing on high-availability, fault tolerance and auto-scaling in cloud formation. Creating snapshots and Amazon machine images (AMIs) of the instances for backup and creating clone instances.

•Writing ANSIBLE playbooks, replacing the dependency on Chef Cookbooks and Chef Recipes to automate infrastructure as a code.

•Expertise in Amazon Cloud Services and its features (EC2, VPC, EBS, AMI, Snapshots, Autoscaling, CloudFormation, IAM, RDS, SES, SQS, SNS, RDS, ELB, CloudWatch etc.)

•Experience working on several Docker components like Docker Engine, Hub, Machine, creating Docker images, Docker Registry, Compose.

•Experience in Monitoring teams to identify and troubleshoot issues on servers using Grafana, cloud watch and Splunk.

•Used Jenkins as a full cycle continuous delivery tool involving package creation, distribution, and deployment onto tomcat application servers via shell scripts embedded into Jenkins jobs.

•Worked on GIT for source code version control and integrated with Jenkins for CI/CD pipeline, code quality tracking and user management with build tools Maven.

•Experienced in setting up the monitoring tools like Grafana and Amazon Cloud watch to monitor major metrics like Network packets, CPU utilization and Memory Utilization.

•Proficient in automating infrastructure and application deployments using Scripting languages like Python, Bash Scripts, setting up Baselines, Branching, Merging and Automation Processes.

•Experience in deploying Containerized applications using Docker on Kubernetes Clusters managed by AWS EKS service.

•Written automation scripts for creating resources in AWS Cloud using Python and Terraform modules.

•Experience working on Azure Services like Data Lake, Data Lake Analytics, SQL Database, Synapse, Data Bricks, Data factory, Logic Apps and SQL Data warehouse and GCP services Like Big Query, Data prod, Pub sub etc.

•Experience in working on Configuration Management Tools like Ansible, Puppet and Chef.

•Experienced in building modern data warehouses in both Azure Cloud and Google Cloud, including building reporting in PowerBI or Data Studio.

•Good at Manage hosting plans for Azure Infrastructure, implementing & deploying workloads on Azure virtual machines (VMs). Installed and configured Jenkins master that served 30 different slaves supporting 8 different applications with various release life cycles and multiple CI pipelines setup on project branches.

•Used Jenkins and pipelines to drive all microservices builds out to the Docker registry.

•Experienced in installing and configuring Apache Tomcat 7/8/9 application server and deploy J2EE application.

•Experienced in Installations, Upgrades, Patches, Configuration, Performance tuning on UNIX/Linux, system software and hardware.

•Set up a GCP Firewall rules to allow or deny traffic from the VM's instances based on specified configuration and used GCP cloud CDN (Content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency.

•Experienced in Installing, Upgrading, Patching, Configuring and Administrating Red Hat Linux.

•Experience in administration of Jira and Confluence which includes permissions, custom fields, custom workflows, and Confluence space.

•Providing 24 x7 on-call support in debugging and fixing Linux and Middleware related issues in AWS Cloud Environment.

•Implemented monitoring solutions with Elasticsearch and Logstash

PROFESSIONAL SKILLS:

Operating Systems : UNIX, Linux, Ubuntu, RHEL 5/6/7, Windows 7/8/10

SCM Tools : CVS, SVN, GIT, Bit Bucket, GitHub

Build Tools : ANT, Maven, Gradle, TFS

CI Tools, CM Tools : Jenkins/Hudson, Bamboo, Antilipo/: CHEF, Puppet, Ansible

Database : SQL Server, Oracle 9i/10g, PL/SQL, NoSQL’s

Scripting Languages : Python, Shell, Ruby, Perl, Groovy, JavaScript, XML

Servers : Apache, Tomcat, JBoss, WebLogic, WebSphere

Monitoring Tools : Splunk, Nagios, AppDynamics, ELK, Grafana, Datadog, Dynatrace.

Cloud Computing : GCP, AWS, AZURE, SRE.

Bug tracker & Testing Tools : JIRA, Splunk, Nagios, Bugzilla, Junit, JMeter.

Languages : C, C#, Java, J2EE

Education:

Bachelors in computer science-JNTUK-2013,

Masters in computer science- Silicon Valley University-2016

Professional Experience:

Client: Visa May 2021 - Present

Role: AWS DevOps Engineer

Responsibilities:

Defined AWS Security Groups which acted as virtual firewalls that controlled the traffic allowed to reach one or more AWS EC2 instances.

Proficient in AWS services EC2, IAM, S3, CloudWatch, Redshift, Dynamo DB, SNS, SQS, SES, VPC, ELB, RDS, Lambda, Aurora, EBS, Route 53, Auto Scaling, Code Deploy, Code Pipeline and Cloud Formation.

•Develop installer scripts using Ant, Python, Unix for various products to be hosted on Application Servers

•Created Splunk dashboard for Artifactory application and Monitored server logs. configured email notifications etc., for Artifactory critical errors.

•Designed and implemented AWS networking architectures, including VPCs, subnets, route tables, security groups, and network ACLs, to provide secure and scalable network infrastructure.

•Configured and managed AWS networking services such as Amazon VPC, Amazon Route 53, Elastic Load Balancer (ELB), and Amazon CloudFront to ensure high availability and fault tolerance.

•Implemented network connectivity between on-premises infrastructure and AWS, utilizing VPN connections, AWS Direct Connect, or Transit Gateway to establish secure and reliable network connections.

•Implemented network security controls using AWS security features like Network Access Control Lists (NACLs), Security Groups, AWS WAF, or AWS Shield to protect against unauthorized access and malicious activities.

•Utilized AWS networking services like AWS Elastic Beanstalk, AWS Lambda, or AWS Fargate to deploy and manage applications within the network environment.

•Experience in deploying and managing containerized applications on Amazon EKS, providing scalable and resilient infrastructure for container orchestration.

•Implemented EKS clusters using AWS Management Console, AWS CLI, or Infrastructure as Code (IaC) tools like Terraform or CloudFormation.

•Orchestrated the deployment of microservices and applications on EKS clusters, leveraging Kubernetes concepts such as deployments, services, and namespaces.

•Implemented disaster recovery and backup strategies for EKS clusters, utilizing EBS snapshots, EFS backups, or other AWS services to ensure data protection and business continuity.

•Implemented infrastructure configuration management using Terraform, ensuring scalability, reliability, and security of cloud resources.

•Service orchestration and multi-tier deployments and Created Ansible playbooks to install and setup Artifactory.

•Experience on Creating 3D harness layout and creating 2D harness print that's used for manufacturing of the harnesses.

•Created a classifieds website for client using Golang, Goroutine, Microservices, Channels, Gokit, ORM GORM, Gorilla Mux, go-hystrix, godoc, ginkgo, gRPC, GoLang, GoCD, Spring MVC, Angular, AWS EC2, RDS, Google App Engine, Google Cloud Platform.

•Designed and implemented AWS Solutions using EC2, S3, EBS, Elastic Load balancer (ELB), VPC, Amazon RDS, Cloud Formation, Amazon SQS, and other services of the AWS infrastructure.

•Setup full CI/CD pipelines so that each commit a developer makes will go through standard process of software lifecycle and gets tested well enough before it can make it to the production.

•Designed and implemented CI/CD pipelines using GitLab CI/CD to automate the build, test, and deployment processes of applications.

•Integrated GitLab CI/CD with version control systems like Git to trigger pipeline execution on code changes, ensuring continuous integration and delivery.

•Configured and managed GitLab CI runners, leveraging virtual machines, Docker containers, or Kubernetes clusters for scalable and efficient pipeline execution.

•Created four staged CI/CD pipelines with AWS Code Pipeline plugin for Jenkins, GitHub repository, Jenkins build server EC2 instance using IAM instance role, proxy and firewall settings to allow inbound connections on server and AWS Code Deploy.

•Used Elasticsearch, Logstash and Kibana (ELK) for maintaining system Logs and Bugzilla for tracking code bugs.

•Maintained ELK (Elastic Search, Log stash, Kibana) Stack for Searching, routing and visualizing Logged Data.

•Created a One-Off NoSQL Database to handle workflow in an efficient manner, written in Golang.

•Worked on scheduling all jobs using Airflow scripts using python added different tasks to DAG, LAMBDA.

•Worked on scheduling all jobs using Airflow scripts using python and Adding tasks to DAG’s and dependencies between the tasks.

•Implemented Web Services (WSDLs) using JAX-WS and implemented REST services by Golang, with microservices architecture Docker, Kubernetes and Building a Command line tool to interact with RESTful API using in Golang.

•Developed backup and recovery engine for VM backup/recovery using VMware vSphere APIs, Golang, programming language and RabbitMQ Message bus (communication interface).

•Implemented and managed Apigee API management platform, ensuring the availability, scalability, and security of APIs.

•Utilized Apigee features like API proxies, policies, and security configurations to design and implement secure and scalable API solutions.

•Configured and optimized Apigee proxy endpoints, request/response transformations, and caching policies to improve performance and reduce latency.

•Skilled in monitoring servers using Dynatrace, Cloud watch, ELK Stack, Prometheus and Grafana.

•Used Go Programming Language Golang, and Scala in the development of the application.

•Setup SonarQube projects which corresponds to bit bucket projects and provide code analysis different programming standards.

•Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker. Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.

•Used date-format and moment packages in Nodejs to save the timestamp in database converting into GMT.

•Used Nodejs to structure JavaScript code to build endpoints.

•Implemented the rest API using Express.js.

•Designed, configured and managed public/private cloud infrastructures utilizing Amazon Web Services (AWS), including EC2, Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables, Elastic Load Balancer, Watch,IAM.

•Used Webpack, Babel and gulp for transpilation (compilation) configuration for Typescript to be converted to JavaScript and developed single page applications using Angular, Typescript, HTML5, CSS3, and Bootstrap.

•Expert in Application Orchestration by using handlers to restart and reload the application post to deploy using Ansible.

•Strong knowledge in migration of Linux and windows applications and run as containerization applications and setup Docker to automate container deployment through Jenkins and Worked on Docker container to create Docker images for different environments.

•Deploying windows Kubernetes (K8s) cluster with GCP Container Service (ACS) from GCP CLI and Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test and Octopus Deploy.

•Developed mock data generation feature that is integrated with GraphQL IDE interface to allow users to

•Strong knowledge on Sending queries against their custom generated schema and render mock results in order to familiarize users to the GraphQL syntax.

•Used containerization and immutable infrastructure, Docker has been cored to this experience, along with Kubernetes.

•Worked on setting-up continuous deployment pipelines using Jenkins across multiple Kubernetes clusters to stress the clusters with new infrastructure tools for Kubernetes in development environments.

•Consumed SOAP APIs from enterprise customer system and RESTful APIs provided by other applications in the portfolio, also created W&C RESTful APIs.

•Experience in source code and build systems migration from one tool to another (GIT /Hg and Gradle /Groovy etc.).

•Strong coding/scripting skills: Linux BASH/Shell/Perl, PowerShell/Batch, REST API and Python/Groovy.

•Involved in complete Administration tasks on Red Hat Linux and documentation for the projects executed.

•Installing, Configuring and Troubleshooting of Linux (Cent OS, RHEL and Ubuntu) servers and workstations.

•Established infrastructure and service monitoring using Prometheus and Grafana.

•Developed several Ansible playbooks for the automation that was defined through tasks using YAML format and run Ansible Scripts to provision Dev servers.

•Worked on Terraform for deploying infrastructure in AWS as per the requirement.

• Involved in using Terraform migrate legacy and monolithic systems to Amazon Web Services and provisioned the highly available EC2 Instances using Terraform and cloud formation and wrote new plugins to support new functionality in Terraform.

•Worked with Docker on multiple cloud providers, from helping developers build and containerize their application (CI/CD) to deploying either on public or private cloud.

•Engineered and implemented fully automated end-user, data migration solution to eliminate business downtime during acquisition/merger using Windows PowerShell. (Confidential, Redwood City, CA)

•Effective maintenance of resources using ansible and VMware and monitoring the health every day.

•Implemented a CI/CD pipeline with Docker, Jenkins (TFS Plugin installed), Team Foundation Server (TFS), GitHub, whenever a new TFS/GitHub branch gets started, Jenkins, our Continuous Integration (CI) server, automatically attempts to build a new Docker container from it.

•Drive cable Harness reliability and integration improvements by implementing new processes, Test components per company and Confidential specifications for vibration, shock, EMI, thermal and other reqs.

•Extensively worked on Jenkins and Bamboo by installing, configuring and maintaining the purpose of Continuous Integration (CI) and End-to-End automation for all build and deployments implementing CI/CD for database using Jenkins.

•Administered and Implemented Jenkins for automated builds.

•Managed Kubernetes charts using Helm, Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and Managed releases of Helm packages.

•Used GIT as source code repository and Created, maintained and customized complex JIRA project configurations including workflows, custom fields, permissions and notifications.

•Implemented and managed Argo CD, a declarative continuous delivery tool, for automated application deployments and configuration management.

•Implemented GitOps principles with Argo CD, leveraging Git repositories as the source of truth for application configurations and deployment manifests.

Environment: - AWS, PCF, Office 365, GROOVY, Jenkins, Terraform, DynamoDB, GRAPHQL, Maven, ELK, Jenkins, Ansible, Python, Ruby, XML, Shell Scripting, PowerShell, Nexus, Git, Jira, GitHub, Docker, Windows Server.

Client: State Farm, AZ Oct 2019 - Apr 2021

Role: GCP DevOps Engineer

Responsibilities:

•Created recommendations on how to duplicate a subset of on-premises machines to the GCP Infrastructure as a Service (IAAS) offering which will be used for disaster recovery. This analysis included the specifics to synchronize on-premises data with SQL Server and SharePoint instances hosted in VMs.

•Worked on GCP Site Recovery and GCP Backup- Deployed Instances on GCP environments and in Data centers and migrating to GCP using GCP Site Recovery, collecting data from all GCP Resources using Log Analytics and analyzed the data to resolve issues.

•Created a One-Off NoSQL Database to handle workflow in an efficient manner, written in Golang.

•Implemented Web Services (WSDLs) using JAX-WS and implemented REST services by Golang, with microservices architecture Docker, Kubernetes.

•Used Elasticsearch, Logstash and Kibana (ELK) for maintaining system Logs and Bugzilla for tracking code bugs.

•Maintained ELK (Elastic Search, Log stash, Kibana) Stack for Searching, routing and visualizing Logged Data.

•Worked with Ansible Templates to automate the GCP IAAS virtual machines using Ansible modules and deployed virtual machine scale sets in production environment.

•Configured EKS to utilize AWS Elastic Load Balancer (ELB) or AWS Application Load Balancer (ALB) for load balancing and routing traffic to applications running in the cluster.

•Utilized EKS Autoscaler to automatically scale the number of worker nodes based on CPU or custom metrics, ensuring optimal resource utilization and application performance.

•Configured EKS for automated cluster upgrades, ensuring the adoption of the latest Kubernetes versions and security patches.

•Implemented secrets management for EKS using AWS Secrets Manager or Kubernetes Secrets, securely storing and retrieving sensitive information required by applications.

•Troubleshooting issues and multi-regional deployment models and patterns for large-scale applications.

•Deploying windows Kubernetes (K8’s) cluster with GCP Container Service (ACS) from GCP CLI and Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test and Octopus Deploy.

•Created Splunk dashboard for Artifactory application and Monitored server logs. configured email notifications etc., for Artifactory critical errors.

•Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP (Google Cloud Platform). Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.

•Setup full CI/CD pipelines so that each commit a developer makes will go through standard process of software lifecycle and gets tested well enough before it can make it to the production.

•Created internal diagnostic tools using Golang, Goroutine, Microservices, Channels, Gokit, ORM GORM, Gorilla Mux, go-hystrix, godoc, ginkgo, gRPC, GoLang, GoCD and AngularJS to assist with customer issues. Golang, and Java were used as a backend REST service while AngularJS was used for the user interface.

•Building a Command line tool to interact with RESTful API using in Golang.

•Developed backup and recovery engine for VM backup/recovery using VMware vSphere APIs, Golang, programming language and RabbitMQ Message bus (communication interface).

•Used Go Programming Language Golang, and Scala in the development of the application.

•Expert in Application Orchestration by using handlers to restart and reload the application post to deploy using Ansible.

•Strong knowledge in migration of Linux and windows applications, run as containerization applications, setup Docker to automate container deployment through Jenkins, Worked on Docker container to create Docker images for different environments.

•Configured GCP Multi-Factor Authentication (MFA) as a part of GCP AD Premium to securely authenticate users and worked on creating custom GCP templates for quick deployments and advanced PowerShell scripting. Deployed GCP SQL DB with GEO Replication, GCP SQL DB Sync to standby database in another region & fail over configuration.

•Made use of ELK stack for logging all the activity and create indexes which can be queried by Kibana.

•Setup SonarQube projects which corresponds to bit bucket projects and provide code analysis different programming standards.

•Used date-format and moment packages in Nodejs to save the timestamp in database converting into GMT.

•Used Nodejs to structure JavaScript code to build endpoints.

•Implemented the rest API using Express.js.

•Used containerization and immutable infrastructure, Docker has been cored to this experience, along with Kubernetes.

•Consumed SOAP APIs from enterprise customer system and RESTful APIs provided by other applications in the portfolio, also created W&C RESTful APIs.

•Experience in source code and build systems migration from one tool to another (GIT /Hg and Gradle /Groovy etc).

•Strong coding/scripting skills: Linux BASH/Shell/Perl, PowerShell/Batch, REST API and Python/Groovy

•Established infrastructure and service monitoring using Prometheus and Grafana.

•Worked on Serverless services, created and configured HTTP Triggers in the GCP Functions with application insights for monitoring and performing load testing on the applications using the Visual Studio Team Services (VSTS) also called as GCP DevOps Services.

•Implemented a CI/CD pipeline with Docker, Jenkins (TFS Plugin installed), Team Foundation Server (TFS), GitHub and GCP Container Service, whenever a new TFS/GitHub branch gets started, Jenkins, our Continuous Integration (CI) server, automatically attempts to build a new Docker container from it.

•Worked with Ansible Templates to automate the GCP IAAS virtual machines using Ansible modules and deployed virtual machine scale sets in production environment.

•Troubleshooting issues and multi-regional deployment models and patterns for large-scale applications.

•Created Splunk dashboard for Artifactory application and Monitored server logs. configured email notifications etc., for Artifactory critical errors.

•Setup full CI/CD pipelines so that each commit a developer makes will go through standard process of software lifecycle and gets tested well enough before it can make it to the production.

•Implemented Terraform state management strategies, including remote state storage, to enable collaboration and concurrent development in a team environment.

•Utilized Terraform to manage infrastructure drift, enabling infrastructure updates and remediation in a consistent and controlled manner.

•Automated resource provisioning and scaling using Terraform, optimizing cloud resource utilization and cost efficiency.

•Worked with Docker on multiple cloud providers, from helping developers build and containerize their application (CI/CD) to deploying either on public or private cloud.

•Effective maintenance of resources using ansible and VMware and monitoring the health every day.

•Consumed REST based Microservices with Rest template based on RESTful APIs.

•Developed mock data generation feature that is integrated with GraphQL IDE interface to allow users to

•Strong knowledge on Sending queries against their custom generated schema and render mock results in order to familiarize users to the GraphQL syntax.

•Managed Kubernetes charts using Helm, Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and Managed releases of Helm packages.

•Implemented Docker - maven-plugin in Maven pom.xml files to build Docker images for all microservices and later used Docker file to build the Docker images from the Java jar files.

Environment: - GCP, PCF, Office 365, Maven, Jenkins, Ansible, Terraform, GCP ARM, GCP ARM, Typescript, Golang, GraphQL, GCP AD, GCP Site Recovery, GCP Site Recovery, Kubernetes, Python, Ruby, XML, powershell, Shell Scripting, Nodejs., PowerShell, Nexus, Git, Jira, GitHub, Docker, Windows Server.

Client: Humana, AZ May 2016 – Oct 2019

Role: Sr. DevOps Engineer

Responsibilities:

•Implemented AWS solutions using EC2, S3, RDS, IAM, Redshift, Lambda, Security Groups, EBS, Elastic Load Balancer, Auto scaling groups, SNS, Optimized volumes and Cloud Formation templates.

•Implemented and maintained CI/CD pipelines using popular DevOps tools like Jenkins, GitLab CI/CD, or AWS Code Pipeline, integrating Terraform for infrastructure deployment.

•Setup and build AWS infrastructure various resources like VPC, EC2, S3, IAM, EBS, Security Group, Auto Scaling, and RDS in Cloud Formation JSON template.

•Manage AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing and Glacier for our QA and UAT environments as well as infrastructure servers for GIT.

•Configured Azure Virtual Networks (VNets), subnets, Azure network settings, DHCP address blocks, DNS settings, security policies and routing.

•Proficient in leveraging Microsoft Azure DevOps (formerly known as Visual Studio Team Services or VSTS) as a central platform for managing the end-to-end DevOps lifecycle, including source control, build automation, continuous integration, and release management.

•Experience in designing and implementing CI/CD pipelines using Azure Pipelines, automating the build, test, and deployment processes for software applications on Microsoft Azure.

•Used Go Programming Language Golang, and Scala in the development of the application.

•Skilled in monitoring servers using Dynatrace, Cloud watch, ELK Stack, Prometheus and Grafana.

•Monitor Azure Infrastructure through System Center Operation Manager (SCOM) and Managing and Create Storage Account and Affinity Group in Azure Portal and Used Azure Resource Manager (ARM) to deploy, update, or delete all the resources for your solution in a single, coordinated operation. Worked on creation of custom Docker container images, tagging and pushing the images to the Docker repository for further use.

•Engineered and implemented fully automated end-user, data migration solution to eliminate business downtime during acquisition/merger using Windows PowerShell. (Confidential, Redwood City, CA)

•Working on Creating Azure Governance processes. Creating a Hub and Spoke

Contact this candidate