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Devops Engineer Resume

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SUMMARY

  • Around 5+ years of IT work experience in Automating, configuring and deploying instances on cloud environments and Data centers.
  • Experience working with various AWS services like EC2, ECS, S3, Cloud formation, IAM etc.
  • Experience in the areas of DevOps CI/CD pipeline, Build and release management, AWS and Linux Administration.
  • Expert in using Talend for Data integration and data processing.
  • Involved in designing and deploying applications utilizing almost all AWS stack like EC2, Route53, S3, ELB, EBS, VPC, RDS, DynamoDB, SNS, SQS, IAM and focusing on high availability, fault tolerance and auto - scaling in AWS Cloud formation, deployment services (OpsWorks and Cloud Formation) and security practices (IAM, CloudWatch and CloudTrail).
  • Proficiency in using cloud computing tools like AWS, CVS, Subversion, VTFS, Perforce, GIT and Rational Clear Case on UNIX and Windows environment.
  • Knowledge on DevOps tools and technologies such as Vagrant, Jenkins, Chef, Puppet, Docker, GIT, Splunk, JIRA, Agile, Ansible, NAGIOS etc.
  • Good understanding of Operating Systems like Linux (Red Hat Enterprise), Ubuntu, CentOS, UNIX, Windows.
  • Experience in cloud automation using AWS cloud Formation Templates, Chef, Puppet and Ansible.
  • Involved heavily in setting up the CI/CD pipeline using Jenkins, Maven, GitHub, Puppet, Terraform and AWS.
  • Implemented multiple CI/CD pipelines as a part of DevOps role for on-premises and cloud-based software using Jenkins, Chef and AWS/Docker.
  • Experienced in branching, tagging and rebasing/merging and maintaining the version across the environments using SCM tools like GIT and Subversion (SVN) on Linux and Windows platforms.
  • Expertise in using Build Automations tools and Continuous Integration concepts by using tools like Jenkins, Bamboo, Team city, Quick Build, Build forge, Maven, Gradle and Ant.
  • Experience working with OpenShift Enterprise which allows developers to quickly develop, host, and scale applications in a self-managed cloud environment.
  • Worked directly with Amazon Web Service architects to halp reproduce and resolve customer issues.
  • Expertise in Deploying and troubleshooting the J2EE Applications (WAR & EAR) in WebSphere Application Server.
  • Expert in deploying the code through web application servers like WebSphere/Web Logic/ Apache Tomcat/JBOSS.
  • Developed Puppet modules to automate application installation and configuration management.
  • Experience in troubleshooting, configuring and deploying enterprise application in JBoss and Tomcat as well.
  • Experience on Rackspace OpenStack Management services like Dedicated Hosting, Cloud storage and servers, managed Databases in OpenStack on different projects.
  • Good knowledge on working with tracking tools like JIRA, Bugzilla, Remedy.
  • Knowledge on Vagrant, Docker based containerization environment delivery for releases.
  • Designed and implemented CI/CD using Jenkins and Ansible to provide an end to end monitoring and deployment.
  • Good knowledge on setting up monitoring tools like Splunk, Nagios and Amazon Cloud Watch to monitor major metrics like Network packets, CPU utilization and Load Balancer.

TECHNICAL SKILLS

Cloud: AWS(EC2, ECS, S3, Cloud Formation, IAM etc), OpenStack

Monitoring: Nagios, Splunk, Netcool, Keynotes, Zabbix, Solarwinds

Configuration Management: Chef, Puppet, Ansible

Programming Languages & Scripts: C, C++, Python, Java, JavaScript, Bash, Batch Scripting

Databases: MySQL, Oracle, Microsoft SQL Server, Hive, MongoDB.

Continuous Integration: Jenkins, Bamboo, Maven, Ant, TFS build

Software Tools: Talend, Tableau, Amazon Glue.

Version Controls: GIT/GitHub, SVN, Subversion

Operating Systems: Windows, Mac OS, UNIX and Linux, Ubuntu

PROFESSIONAL EXPERIENCE

Confidential

DevOps Engineer

Responsibilities:

  • Worked on the Deployment, Configuration, Monitoring and Maintenance of OpenShift Container Platform.
  • Experience on Open Shift, Kubernetes, Docker to manage micro services for development of Continuous integration and continuous Deployment.
  • Used OpenShift to improve application security by putting admin consoles on different Docker containers accessible only from unusual port numbers.
  • Developed build using ANT & MAVEN as build tools and used CI to kick off builds move from environments.
  • Participated in the release cycle of the product, which involves environments like developments QA and production.
  • Involved in setting up builds using Chef as a configuration management tool.
  • Used Chef to configure and manage infrastructure. Wrote cookbooks to automate the configuration setups.
  • Established Chef Best practices to system deployment with tools with vagrant and managing Chef Cookbook as a unit of software deployment and independently version controlled.
  • Designed & developed shell scripts. Compiled builds using pom.xml and build.xml.
  • Used the continuous integration tool such as Jenkins and Hudson for automating the build processes.
  • Used the version control system GIT to access the repositories and used in coordinating with CI tools.
  • Integrated maven with GIT to manage and deploy project related tags.
  • Installed and configured GIT and communicating with the repositories in GITHUB.
  • Performed day-to-day GIT support for different projects. Created & maintained GIT repositories, branches & tags.
  • Assisted end-to-end release process from planning release content through to actual release deployment to production
  • Deployed Java/J2EE application on to the Apache Tomcat server and configured it to host the websites.
  • Deployed application packages on to Apache Tomcat server. Coordinated with software development & QA teams
  • Executed the planning of product software releases and performed clean builds according to scheduled releases.
  • Verified whether the methods used to create and recreate software builds are reliable and repeatable.
  • Identified the Data Source and defining them to build the Data Source Views.
  • Deployed the build artifacts into environments like QA, UAT according to the build life cycle.
  • Deployed RDS and Dynamo DB instances on AWS infrastructure.

Environment: Java, Eclipse, Toad, Git, Tomcat, Apache, Oracle 12c, Jenkins, Python, Ruby Chef, JIRA, Maven, Art factory, Ubuntu, CentOS, Linux, AWS, AWS Cloud Formation Templates, AWS RDS, AWS Cloud Watch, Ruby, Chef-solo/server.

Confidential

Software Engineer

Responsibilities:

  • Developed data extract jobs for the financial clients of first data.
  • Developed batch jobs to Encrypt sensitive data (PII data) at rest used by the multiple financial/payment applications using voltage encryption services.
  • Done Voltage encryption integration with the Talend.
  • Developed Talend jobs to migrate data from AES encryption to voltage encryption.
  • Handled large amount of structured data for multiple applications multiple tables, each table with 15 to 20 billion records.
  • Moving BI reporting application from legacy MySQL, Linux environment to first data Data Lake in Amazon cloud.
  • Using python to dump the raw csv files and table data from multiple data sources to Amazon s3 bucket.
  • Developed Amazon glue jobs to load the tables, csv files in s3 bucket in to data lake environment.
  • Developing SQL scripts to run on the parquet form data for data extraction and master data preparation.
  • Created the Ingestion mechanism to automatically consume the different type of raw csv files and processes it and store them in a data base with end to end automation.
  • Developed ETL jobs for parsing the raw files from the Nessus security scanner both internal and external scans and load them in MySQL.
  • Developed ETL job for parsing the raw files from the Tanium security scanner both internal and external scans and load them in MySQL.
  • Developed ETL jobs by taking load tables as input source and extract required flags and store them in the MySQL data base.
  • Used Cron job for Job scheduling.
  • Created Data visualization charts in the Tableau feeding on the database and bought it to live.

Environment: Talend, AWS Glue, AWS Redshift, AWS S3, MS SQL server, AWS Atana, Voltage services, Hive, Pig, Spark, Windows.

Confidential

DevOps Engineer

Responsibilities:

  • Setting up and building AWS infrastructure resources such as VPC, EC2, S3, IAM, EBS, Elastic Search, Security Group, Auto Scaling, Lambda and RDS in Cloud Formation and involved in deploying the content to Cloud platform on AWS using EC2, S3, and EBS.
  • Hands on experience with IAM to set up user roles with corresponding user and group policies using JSON.
  • Defined AWS Security Groups which acted as virtual firewalls dat controlled the traffic allowed reaching one or more AWS Ec2 instances.
  • Used Docker, Kubernetes and OpenShift to manage micro services for development of continuous integration and continuous delivery.
  • Support an Agile CI/CD Environment as a DevOps Engineer where we make the Atlassian tools (Jira and Bitbucket) and also provide layer 3 supports on these tools if there are any issues.
  • Worked on the Deployment, Configuration, Monitoring and Maintenance of OpenShift Container Platform
  • Implemented a Continuous delivery pipeline with Docker, Jenkins, GitHub and AWS AMI’s.
  • Our Continuous Integration stack consists of GIT, Jenkins, CI/CD, the Docker Trusted Registry and OpenShift Enterprise.
  • Lead the cloud infrastructure maintenance effort using a combination of Jenkins, Chef andTerraform for automating CICD pipeline in AWS.
  • Responsible for a boarding application teams to build and deploy their code using GitHub, Jenkins and Ansible.
  • Created new jobs in Jenkins and built pipeline for Continuous Integration and migrated applications to the AWS cloud.
  • Used Ansible and Ansible Tower as Configuration management tool to automate repetitive task.
  • Wrote Ansible Playbooks with Python SSH as a wrapper to manage configurations of AWS nodes and Test Playbooks on AWS instances using Python.

Environment: TFS, SVN, Chef, Puppet ANT, Maven, Jenkins, Azure, IIS, Shell scripts, Teamcity, PostgreSQL, JIRA, Service Desk, Splunk, Nagios, Windows, Linux/Unix.

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