Summary

Overview

Work History

Education

Skills

Snooker, PickleBall, Cricket, Watching Series, Hosting Parties

Timeline

Neehar Mullapati

Northlake,TX

Summary

Over 8+ years of Professional IT experience in AWS, Build and Release Management, DevOps providing Cloud Engineer Infrastructure Automation, Continuous Integration, Continuous Delivery, Continuous Deployment, Automation of Configuration Management and Security. Designed, build and deployed a multitude application utilizing Terraform, Terragrunt as Infrastructure as code almost all of the AWS services like EC2, Lambda, cloud watch, S3, Elastic Beanstalk, Load Balancers, Auto Scaling, RDS, VPC, Route53, EKS, ECR, Security Groups, snapshots and IAM, focusing on high-availability and fault tolerance. Deployment of Virtual Machines to Virtual Networks using Azure portal or PowerShell. Working Experience with Microsoft Azure Administrator like configuring availability sets, virtual machine scale set (VMSS) with load balancers, Virtual networks, network security group (NSG), Docker and Kubernetes. Experience in writing Infrastructure as a code (IAC) in Terraform, Azure resource manager (ARM), AWS Cloud formation. Created reusable Terraform modules in both Azure and AWS cloud environments. Experience in Developing CI/CD pipeline using AWS code commit, CodeBuild && code deploy and along with developed various Bash and Python scripts for deploying the backend data on to the lambda functions for serverless applications. Strong experience in creating Jenkins Jobs CI/CD pipeline to automate most of the build related tasks. Worked on Kubernetes to manage containerized applications & deployed application containers as Pods using the helm charts. Worked on Docker to containerize the Application and all its dependencies by writing Docker file.

Overview

years of professional experience

Work History

Sr. DevOps Engineer

Charter Communications (Spectrum)

01.2020 - Current

Developed AWS code pipelines using Docker and Terraform to creates the images of all the successful builds and pushed then in the AWS ECR that is later consumed by the EKS cluster to do the rolling deployments by consuming the images as pods
Developed terraform scripts and plans to automate whole AWS cloud infrastructure on secure VPCs and Implemented AWS solutions using E2C, S3, RDS, EBS, Elastic Load Balancer, Auto scaling groups, Optimized volumes and EC2 instances
Experienced in automated deployment (Terraform, AWS cloud formation) and serverless architecture AWS lambda and AWS services
Worked with Python OO Design code for manufacturing quality, monitoring, logging, and debugging code optimization
Expertise in writing Python scripts to automate the service from lambda process through API Gateway and RDS database snapshots
Experience in Building a highly scalable, highly available, public cloud infrastructure using Azure services like App services, Azure Storage, Azure SQL database, Virtual machines, IIS, Azure Active Directory (AD), Azure Resource Manager (ARM), Cosmos DB, AZURE Functions, Azure Service Fabric, Azure Monitor, AZURE Service Bus, AZURE Virtual Networks (VNets), subnets, security policies and routing
Written python scripts to scan the electronic health records in s3 bucket for detecting the Personal Health Information using DATAGUISE
Written boto3-python scripts to move files from one account to another account
Implemented cluster services using Docker and Kubernetes to manage local deployments in Kubernetes by building a self-hosted Kubernetes cluster using Terraform and Ansible and deployed application containers
Perform automation tasks in Python PowerShell, Azure CLI and JSON form ARM templates
Created alarms in CloudWatch service for monitoring the server performance, CPU Utilization, disk usage and have insight in the monitoring tool namely Nagios
Environments: AWS (EC2, S3, SNS, ELB, IAM, EKS, RDS), Cloud Watch, SonarQube, Terraform, Terragrunt, Nagios, Ansible, Groovy, Jenkins, Docker, Kubernetes, Python, Jira, GitHub
Azure IoT, AzureDevops.

AWS Devops Engineer

Florida BCBS

10.2018 - 12.2019

Involved in building scalable infrastructure in AWS and worked on ELB, ALB and EC2 instances for application hosting, RDS for data-stores, S3 buckets for asset retention and static site hosting, Route53 for DNS
Created Resources Using Cloud Formation Templates for hosting software on AWS cloud
Used Jenkins to create builds, S3 to store them and deployed them with ansible, created environments on the fly for new code releases and allowed for multiple versions of code to be available for the different departments
Performed all the GIT activities such as authentication, branching, tagging, merging and workspace setup activities for development team
Configured Kubernetes cluster and supported it running on the top of the CoreOS
Developed POC on managing Kubernetes Clusters on AWS Using Kops
Used Nagios & New Relic as distributed monitoring solution to monitor critical IT infrastructure components, including system metrics, applications, services, servers and docker containers
Implemented AWS solutions using EC2, S3, EBS, Elastic Load Balancer, Auto scaling groups
Maintained Git repositories for DevOps Environment and Responsible for Build and Deployments using Stash
Implemented AWS EKS deployable microservices architecture
Migrated EC2 based applications
(Micro services and web apps) to EKS
CI and CD is built with custom bash and python functions via Gitlab
Environments: Shell, GitHub, AWS (EC2, S3, EKS, VPC, ELB, RDS, Route 53, IAM), JIRA, Ansible, Kubernetes, Chef, SonarQube, Docker, Nagios, Groovy.

AWS Cloud Engineer

Express Scripts

08.2016 - 10.2018

Created the automated build and deployment process for application, re-engineering setup for better user experience, and leading up to building a continuous integration system for all our products
Created automated pipelines in AWS Code Pipeline to deploy Docker containers in AWS ECS using services like CloudFormation, Code Build, Code Deploy, S3 and puppet
Responsible for Database build, release and configuration and Developed Shell/Perl Scripts for automation purpose
Configured Elastic Load Balancers with EC2 Auto scaling groups
Configured servers to host Team Foundation Server (TFS) instance, build controllers and build agents
Monitored & troubleshooted various proprietary & third-party apps using CloudWatch in AWS environment
Created python modules to automate system operations
Created monitors, alarms and notifications for EC2 hosts using Cloud Watch
Supported Production, Development and Test environment’s carrying Red Hat Linux, SUSE Linux and CentOS
Used AWS Code Deploy and codebuild plugin to deploy to applications in AWS EC2 instance
Environments: AWS, Jenkins, ANT, MAVEN, GIT, Tomcat, Shell, Maven, Linux, CentOS, Windows.

Associative Systems Engineer

Huawei

05.2013 - 11.2014

Automate applications build and deployment processes using ASP.Net technologies and python scripting
Response for validation of client interface HTML pages using JavaScript and AngularJS
Developed unit and functional tests in Python
Developed use cases from the business requirements
Created UML diagrams to capture architecture and application design
Analyzed, recorded, tracked bugs and defects for the products using JIRA reporting tool
Involved in developing the interface for web pages like user registration, login, registered access control for users depending on logins using HTML, CSS, JavaScript and PHP for client to improved customer experience
Deployed the applications to Tomcat Application Server and static content to Apache web servers
Implemented the project using the Java Spring Boot Framework and worked on small scripts using data structures and algorithms
Environment: ASP.Net, HTML, JIRA, C, C++, JAVA, JS, ANGULAR JS, PYTHON, PHP, TOMCAT

Education

Master of Science - Computer And Information Sciences

California University of Management And Sciences

Arlington, VA

06.2016

Bachelor of Science - Electronics And Communications Engineering

JNTU K

Kakinada, India

05.2013