SUMMARY

• Over 7 years of IT experience as a Cloud Ops Engineer, DevOps Engineer, and System Administrator.
• Experienced in managing servers, building new servers.
• Quality experience in Amazon Web Services such as EC2, VPC, S3, IAM, EBS, RDS, ELB, VPC, Route53, Dynamo DB, Auto Scaling, Cloud Trail, Cloud Watch, Cloud Formation, Elastic search, Elastic File system (EFS), Elastic Beanstalk, Code Commit, Code Pipeline, Code Deploy, Code builds, AWS SNS.
• Experience with designing, building, and operating solutions using Virtualization by using private hybrid/public cloud technologies.
• Hands - on proficiency with Migrating a production infrastructure into an Amazon Web Services utilizing AWS Cloud formation.
• Created jobs in ETL section of the AWS Glue console. When you start a job, Glue runs a script that extracts data from sources, transforms the data and load it into targets.
• Hands on experience in AWS Organizations, SCP, AWS SSO, SAML.
• Major Experience in AWS infrastructure using AWS control tower.
• Proficiency in configuration and automation using Chef, Jenkins, Ansible, and Docker.
• Knowledge in configuring Docker Containers for Branching and deployed using Elastic Beanstalk.
• Ability to build utilities like Maven, Ant for the building of jar, war, and ear files.
• Expertise AWS Lambada function and API Gateway, to submit data via API Gateway that is accessible via Lambda function.
• Supervised configuration of Web App and Deploy to AWS cloud server through Chef.
• Developed AWS Cloud Formation templates and set up Autoscaling for EC2 instances.
• Designed Kubernetes cluster with objects like Pods, Deployments, Services, and Config Maps and created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files, and Helm packages and implemented Kubernetes to deploy scale.
• Worked with Kubernetes for the runtime environment of the CI/CD system to build, test deploy.
• Operated on Installing, Configuring, and administering the Jenkins CI tool.
• Experienced in creating jobs and pipeline jobs in Jenkins.
• Familiarities with Linux Administration activities like troubleshooting of regular issues, configuration issues, applying patches, package management, and file system issues.
• Skilled in utilizing Continuous Integration and Continuous Deployment through Agile Methodology to deliver weekly software deployments through Bamboo.
• Efficient grasp in Virtualization Technologies vSphere, VMware, Virtual Box.
• Mastery in implementing Spark using Scala and Spark SQL for high-speed testing and processing of data responsible to manage data from different sources.
• Expanded an Azure-based high performance compute environment to help the massive computational specification of client congressional redistricting Azure application.
• Experience in Configuring and maintaining Networking services and protocols such as LDAP, DNS, NFS, DHCP, and SSH.
• Having involvement in automating infrastructure IAC provisioning using Terraform on AWS.
• Transformed existing Terraform modules that had version dispute to utilize Cloud formation templates during deployments, worked with Terraform to create stacks in AWS, and updated the Terraform scripts based on the requirement on a regular basis.

TECHNICAL SKILLS

Cloud: AWS, Microsoft Azure

Containerization Tools: Docker, Docker Swarm, Kubernetes, Rancher, Openshift

Configuration Management Tools: Chef, puppet, Ansible

CI/CD Tools: Jenkins, Circle CI, Bamboo, Hudson

Build Tools: Maven, Ant, Gradle

Version Control Tools: Git, GitHub, Bitbucket, SVN

Monitoring Tools: Splunk, Cloud Watch, New Relic, Datadog, Nagios, Grafana, Graphite

Languages & Scripting: Python, Ruby, Bash, Shell scripting, Java, JavaScript, HTML, CSS

Web Servers: Apache Tomcat, Nginx, JBoss

Artifact Repository: Nexus

Ticketing Tools: JIRA, Rally

Database: MySQL, PostgreSQL, Aurora DB, MongoDB, Dynamo DB, Redshift

Networking Protocols: TCP/IP, VPC, subnets, VPN

Operating Systems: Windows, Unix/Linux, CentOS, Ubuntu

PROFESSIONAL EXPERIENCE

AWS DevOps Engineer

Confidential - Blue Ash, Ohio

Responsibilities:

• Analysed, Designed, and Setup IAM Users, Roles, Policies as per the Organization Security Standard.
• Accomplished in AWS services like VPC, EC2, S3, ELB, Autoscaling Groups (ASG), EBS, RDS, IAM, CloudFormation, Route 53, CloudWatch, CloudFront, CloudTrail.
• Built CloudFormation templates for SNS, SQS, Elasticsearch, DynamoDB, Lambda, EC2, VPC, RDS, S3, IAM, CloudWatch services implementation, and integrated with Service Catlog.
• Professional in creating multiple VPC’s and public, private subnets as per demand and dispersed them as groups into various availability zones of the VPC.
• Featured NAT gateways and instances to permit communication from the private instances to the internet through bastion hosts.
• Configure the repository to issue an SNS notification upon changes. Support the pipeline to the Amazon SNS topic.
• Constructed and used data warehouse. Done it by integrating data from multiple heterogeneous sources that support analytical reporting, structured or hoc queries and decision making.
• Created a secure environment that makes it easier to govern AWS workloads with rules for security, operations, compliance. So, basically AWS control tower automates the setup of a baseline environment. The configuration of the landing zone is based on best practises that have been established by working with thousands of enterprise customers.
• Used Elastic APM and Prometheus to monitor software services and applications in real time.
• Extracted data from the source/ transactional systems, transforms it to fit the model of data warehouse and finally loads it to the data warehouse. (ETL-extract, transform, load)
• Used SonarQube for uninterrupted inspection of code quality and to perform automatic reviews of code to discover bugs. Directing AWS infrastructure and automation with CLI and API.
• Building/Maintaining Docker container clusters managed by Kubernetes.
• Collaborated in the automation of AWS infrastructure via Terraform, including provisioning AWS environments using Ansible Playbooks.
• Hands-on with Ansible Playbooks to setup and configure Continuous Delivery Pipeline and Tomcat servers. Deployed Micro Services, with provisioning AWS environments using Ansible Playbooks.
• Used RStudio Server Pro for data analysis and integrated development experience. Along with that shared shiny applications, R markdown reports, Plumber APIs, dashboards, Jupyter Notebooks Using RStudio Connect.
• Used RStudio Package Manager to organize and centralize R packages across the team, department, or entire organization.
• Set up an Amazon CloudWatch Events rule triggered by a Code Commit Repository State Change event for the master branch and add an Amazon SNS topic as a target.
• Formation of RDS database instances Postgres SQL in AWS cluster making use of EC2 and VPC and launched via Cloud Formation template.
• Worked with PostgreSQL for administrators to protect data integrity.
• Used AWS Beanstalk for deploying and scaling web applications and services evolved with Python.
• Integrated the AWS S3 logs with Athena service, exported the data in csv format by leveraging the Lambda with python code.
• Build, Deploy, and Monitor Microservices in Amazon Cloud Services AWS.
• Worked in implementing the AWS organizations in the current environment, effectively leveraged the features in managing the centralized billing and new account setups.
• Deploying Docker container on AWS ECS.
• Hands-on experience on Container Orchestration like AWS ECS, Kubernetes.
• AWS ECS and EKS for docker image storage and deployment.
• Created Metadata manually to be more accurate and contain more basic information.
• Used Data tagging to describe an item and allow it to be found again by browsing or searching, other form of Metadata.

Environment: /Tools: EC2, Elastic Load Balancing, Cloud Front, Cloud Formation, Lambda, Elastic Cache, Cloud Watch, Route 53, Lambda, and Dynamo DB, Nagios, Terraform, Kubernetes, Docker, Jira, Ansible, Maven, Hudson, Metadata, Groovy Bash scripts.

AWS DevOps Engineer

Confidential - Cincinnati, OH

Responsibilities:

• Involved in AWS Environment, Worked on Various Services like EC2, IAM, VPC, S3, EBS, RDS, KMS, ELB, Route53, Auto Scaling, SQS.
• Worked with Identify and Access Management (IAM) to allocate roles and to create and manage AWS users and groups, and user permissions to AWS resources.
• Worked on Setting up private networks and sub-networks using Virtual Private Cloud and created Security Groups to associate with the networks.
• Worked with Java, Microservices, API development work and WCS 7.0 Version, extending WCS components.
• Used Terraform Modules for Creating Users in AWS.
• Worked on Enabling S3 Intelligence Tiering for Terraform and non- terraform managed buckets in Dev, Ops, Prod environments in AWS.
• Set up a new baseline multi account AWS environment that is secure, well architected, and ready to use with the use of AWS Control Tower.
• Built multiple services such as AWS Organizations, AWS Identity and Access Management, AWS Config, AWS Cloudtrail and AWS service catalog using AWS Control Tower.
• Worked on Tooling, Building and improving Infrastructure to runs our Applications.
• Used Docker by writing Docker files and set up the automated build on Docker hub and configured Kubernetes.
• Created Docker Registry and handled multiple images primarily for domain configurations.
• Used Kubernetes to manage the containerized applications, deployments, secrets and services.
• Created Ansible playbook files for windows server builds and used yaml packages for installing, configuring push to make changes in time.
• Worked on end to end automation of infrastructure and continuous delivery of the applications by integrating Jenkins.
• Used GitHub repository to keep track of all changes in source code.
• Fabricated Python scripts to automate S3 data upload and control instance operations with AWS API.
• Worked on Shell scripting for Automating the build and release process.
• Configured Datadog dashboards to monitor real time granular metrics of all the AWS.
• Worked on Automation by creating Users, teams, Services, Schedules and escalation policies in PagerDuty and integrated with slack for alerts.
• Worked with Slack which allows you to organize communications by channels for group discussions and allows private messages to share information, files and more all in one place.
• Done Field service Management which is simple by replacing spreadsheets, email and other management tools with a single system. It automates service management process, increase efficiency lower costs and devote more time to create the consumer like self-service experience that user expect. These are all advantages of using Service Now.
• Used RabbitMQ for messaging solution, which is often used to allow web servers to respond to requests quickly instead of being forced to perform resource heavy procedures while the user waits for the result.
• Worked with SRE team which is Site Reliability Engineering, for availability latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning.
• Created alerts, Schedule searches using Splunk to monitor application and server logs.
• Created AWS RDS MySQL DB cluster and connected to the database through an Instance using the Amazon RDS Console.
• Worked on Packer file creation and added docker daemon JSon file for Ubuntu 18.04.
• Worked on managing user accounts, security, disk space and process monitoring in Linux.
• Troubleshoot and debugged environment and resolved Infrastructure problems found in the production and non-production environments.
• Maintained JIRA for tracking and improving project defects and tasks.
• Worked with Rally, which is project management solution that provides release planning, iteration planning, the ability to schedule all or parts of requirements from release backlog, and the ability to manage other QA activities.
• Included in Sprints and planned releases with the team.

Environment: AWS (EC2, IAM, VPC, S3, EBS, RDS, KMS, ELB, Route53, Auto Scaling, SQS), Docker, WCS, Kubernetes, Ansible, Jenkins, Git, RabbitMQ, Python, Shell, Datadog, Splunk, PagerDuty, MySQL DB, PostgreSQL, Packer, Linux, Jira.

DevOps Engineer

Confidential - Reston, VA

Responsibilities:

• Involved in the Study of the business logic and synchronized with the client to gather the requirements.
• Registered the SCM process and policies of the company and suggested some process changes.
• Configured internode conveyance between Cassandra nodes and client using SSL encryption.
• Installed and worked with Cassandra cluster and CQL on the cluster.
• Experience in containerized based deployments using Docker.
• Hands on experience in automating application deployment in the cloud using Docker technology with the help of Amazon EC2.
• Operated on developing Chef Recipes to perform deployments onto application servers like Tomcat and Nginx.
• Used services of Nginx which grows along with its clients traffic.
• Noted Chef Cookbooks, recipes and pushed them onto Chef Server for configuring EC2 Instances.
• Assembling and configuring of EC2 instance on AWS cloud platform, Configuration of Elastic Load Balancer (ELB) for traffic control for the EC2 and S3.
• Generated network architecture on AWS VPS, subnets, Internet Gateway, Route Table and NAT Setup.
• Utilized AWS lambda to run servers without managing them and to trigger to run code by S3 and SNS.
• Implemented, configured, and administrated Layer 7 API Gateway and Portal.
• Used groovy scripts to develop scripted continuous delivery pipelines in Jenkins and have integrated them with Maven.
• Defined dependencies and plugins in Maven pom.xml for various activities and integrated Maven with GIT to manage and deploy project related tags.
• Integrate existing performance tools with Jenkins for (CI/CD) as part of DevOps Chef and Packer to build Jenkins master AMI. This includes Groovy to configure plugins
• Performed system monitoring using Nagios and Cloud Watch in AWS Cloud.
• Involved in setting up JIRA as defect tracking system and configure various workflows, customizations and plugins for JIRA bug/ issue tracker.
• Produced Bash, Shell & Python scripts for various Systems Administration tasks to automate frequent processes.
• Configured Jenkins to implement nightly builds on daily basis and generated changes happened from last 24 hours.

Environment: Maven, Docker, Jenkins, GIT, Chef, cloud watch, AWS (EC2, VPC, ELB, S3, RDS, Cloud Trail and Route 53), Python, Hudson, Cassandra, Shell Scripting, Ruby, PUTTY.