Manikanta G Email and Phone Number

● Architected and implemented scalable cloud solutions on Google Cloud Platform (GCP), optimizing performance, security, and cost efficiency.● Designed and deployed infrastructure on GCP using services like Compute Engine, Kubernetes Engine, Cloud Storage, and BigQuery for various applications.● Automated deployment pipelines on GCP using tools such as Google Cloud Build, Cloud Functions, and Cloud Run to ensure smooth CI/CD processes.● Deployed and configured AZURE AD Connect. Also configured Azure Network Security Groups, Azure Operational Insight and OMS, AZURE Premium Storage, Network Virtual Appliance, Client-Side encryption for Azure storage objects.● Employed Azure Resource Manager (ARM) to deploy, update and delete multiple resources on Azure and in migrating the on-premises resources to Azure with Azure site recovery (ASR) and Azure backups and created resource group of virtual machines with deployment parameters.● Deployed an Azure Databricks workspace to an existing virtual network that has public and private subnets and properly configured network security groups.● Utilized Azure Databricks and Azure Storage services to build scalable and cost-effective data processing solutions.● Migrated On-premises SQL Server Database to Azure Data Lake, Azure SQL Database, Databricks, and Azure SQL Datawarehouse.● Designed, built, and implemented scalable cloud-based services and applications for Platform-as-a-Service (PaaS), Infrastructure-as-a-Service (IaaS), and Software-as-a-Service (SaaS) environments.● Developed and deployed robust, production-quality applications with a focus on performance, scalability, and maintainability.● Participated in incident response and troubleshooting efforts to resolve issues related to containerized applications and cloud infrastructure.● Authored comprehensive documentation, reports, papers, articles, patents, and presentations for training, knowledge sharing, and project communication purposes.

● Responsible for leading banking projects from planning to execution stage. Migrating environments from scratch, setting up an execution plan, disaster recovery methodologies, discussing timelines and expectations with business personnels to allow a smooth transition end-to-end.● Responsible for streamlining infrastructure and cloud related requirements for software engineers, data engineers and architect-level team members and fulfilling cloud requirements for a team of more than ten engineers, architects, and managers. ● Implemented CI/CD pipelines using GitHub Actions Workflows to automate pre-build setup, build artifacts, create release, send sensitive data securely to AWS, execute ECS deployments to keep web application resources up to date and deploy updated code to cloud resources.● Responsible for being on-call for a wide variety of applications and projects that are hosted on AWS, Azure using Terraform, Kubernetes, CircleCI, GitHub Actions, Azure DevOps and keeping them up and running with zero downtime.● Implemented Terraform modules for deployment of applications across multiple cloud providers. Worked with Terraform key features such as Execution plans, Resource Graphs, Change Automation. ● Authored Terraform modules to manage AWS/Azure infrastructure, for automatic creation of RDS instances, VPCs, Autoscaling groups, Load balancers, SQS, S3 buckets.● Customized Terraform modules for infrastructure management. Authored and published a module to the Terraform registry for enterprise customers to deploy our product inside their AWS environment.● Implemented DevSecOps model using SAST (Static Application Software Testing) and DAST (Dynamic Application Software Testing) tools. These tools scan the proprietary code for coding errors and design flaws as well as mimic the behavior of a hacker for applications and APIs.●

 Configured and deployed Azure Automation Scripts for a multitude of applications utilizing the Azure stack for Compute, Web and Mobile, Blobs, Resource Groups, Azure Data Lake, HDInsight Clusters, Azure Data Factory, Azure SQL, Cloud Services, and ARM Services and utilities focusing on Automation. Designed, Configured, and deployed Microsoft Azure for a multitude of applications utilizing the Azure stack (including Compute, Web & Mobile, Blobs, Resource Groups, Azure SQL, Cloud Services and ARM), focusing on high – Availability (HA), Fault Tolerance (FT), and Auto-Scaling. Extensive involvement in Designing Azure Resource Manager Template and in designing custom build steps using PowerShell. Experienced in configuring Cloud platform such as Virtual Networks Multi-site, Cross-site, VMs, Azure Active Directory, Load Balancers, Azure SQL, Cloud Services etc., and Created Azure Backup vault and protecting requires VMs to take the VM level backups in Azure.  Experience in integrating Azure Log Analytics with Azure Virtual Machines for Monitoring the log files, store them and Track Metrics. Experience in Azure AD Domain Service, SSO, MFA, RBAC and Security. Designed, configured, and deployed Azure Automation Scripts for a multitude of applications utilizing the Azure stack (Including Compute, Web Mobile, Blobs, ADF, Resource Groups, HDInsight Clusters, Azure SQL, Cloud Services, and ARM), Services and Utilities focusing on Automation. Developed methodologies for cloud migration, implemented best practices and helped to develop Backup and Recovery techniques for applications and database on virtualization Platform. Provided consulting and cloud architecture for premier customers and internal projects running on Microsoft Azure Platform for High Availability of services, low operational costs.

 Worked as AWS Cloud Engineer for a team that involved three different development teams and multiple simultaneous software releases. Created multiple scripts for system administration and AWS using languages such as BASH and Python and created Lambda functions to upload code and to check changes in S3, DynamoDB table. Created S3 buckets in the AWS environment to store files, sometime which are required to serve static content for a web application. Configured S3 Buckets with various life cycle policies to archive the infrequently accessed data to storage classes based on requirement. Involved in analysis, architecture Design and creation of AWS Virtual Private Cloud (VPC), Elastic compute cloud (EC2 instance), FTP Server with Elastic IP, AWS Load Balancer, sending email and pager duty services when new instances launch using Cloud watch. Used Terraform to Setup infrastructure in PCF and Azure Environments. Converted existing Terraform modules that had version conflicts to utilize cloud formation during Terraform deployments to enable more control or missing capabilities. Implemented Jenkins Pipeline jobs to create Azure Infrastructure from GitHub repositories containing Terraform code and created on-premises Active Directory authentication using automation with Ansible Play Books. Created Terraform Templates for provisioning Virtual Networks, Subnets, VM Scale Sets, Load Balancers, and NAT rules and used Terraform Graph to visualize execution plan using the Graph Command. Configured BGP Routes to enable ExpressRoute connections between on-premises Data Centers and Azure Cloud. Worked on writing Jenkins’s build pipeline with Maven, scripted Groovy based DSL (Domain Specific Language) and integrated MAVEN build scripts for continuous build and Integration.

 Expertise in Build and Release management using GIT, Maven, Jenkins administration. Created looper pipelines from the GitHub source code for creating Docker images. Experience in writing Puppet manifests and modules to automate the deployment process and to integrating Puppet manifests into Jenkins/Hudson jobs for a Continuous Delivery (CD)Framework. Implemented CI/CD web hooks & workflows around Jenkins to automate the dev test deploy workflow around Puppet codebase. Installed and Managed Jenkins and Nexus for CI and Sharing Artifacts respectively within the company.  Used GIT version control to manage the source code and integrating with Jenkins to support build automation and integrated with JIRA to Monitor the commits.  Used ANT as a build tool on Java projects for the development of build artifacts on the source code. Worked on Python to pull a report from access report from Git through Rest API and configured through Jenkins.  Implemented Maven as build tool on Java projects for the development of build artifacts on the source code. Created and maintained the Power Shell scripts and Perl scripts deployment scripts for Tomcat application servers. Assisted on monitoring servers and responding to event notifications (Service outages, Load Alerts etc.) using Nagios.  Built, Configured and Maintained Apache web server, kickstart, NFS, Samba and DNS servers on Red Hat and Centos. Kickstart both Virtual Server and bare metal from CPAN, obtaining the specs files convert them to rpm format for installation on both RHEL and CentOS Servers. Integrated ant with Shell scripts created in Bash to automate the deployments for the Java-based applications. Experience in creating inventory, job templates and scheduling jobs using Ansible Tower and expertise in writing Ansible Playbooks. Created Ansible Playbooks for virtual migration process from VMWare to KVM/OpenStack nodes.

 Provided backup support for Jenkins’ build environment and involved in upgrade of Bamboo & Artifactory Server and adopted Jenkins for CI practice and revised existing build procedures. Branching strategies for GIT. Experienced in GIT forks, tagging, handling merge requests and notifications. Created repositories, branches, tags in Git and assisted the developers to fix merging issues and to implement the parallel development process. Experience with Linux systems, virtualization in a large-scale environment, experience with Linux Containers (LXC) and Docker. Configuring and managing of Chef Master server: updating and creating modules and pushing them to Chef . Clients and deploying application operational scripts to webservers like Apache Tomcat and JBoss using manifests. Implemented Chef Recipes for Deployment on build for internal Data Centre Servers. Also, re-used and modified