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Devops Engineer Resume

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San Francisco, CaliforniA

SUMMARY

  • A goal oriented Devops Engineer experienced in Analysis, Design, Development, Implementation and testing of various stand - alone and client-server architecture based enterprise application software in Python on various domains.
  • While working with different clients on different project gained experience in designing, developing and enhancing applications using Shell and Python scripting as well developing web applications implementing MVT/MVC architecture using Django, Flask.
  • My goal is to work and to contribute to an organization’s success using developer and leadership skills within teams of workers.

TECHNICAL SKILLS

Operating System: Linux, Ubuntu, Mac OS, Windows

Programming Language: Python, Java Script, HTML, CSS, PHP

Version Control Tools: GIT, SVN, TFS.

Database: Oracle, MySQL, Hive, Cassandra, MongoDB,PostgreSQL, Teradata, DynamoDB

Framework: Django, Flask, Angular JS, react JS, Kafka

Cloud services: AWS, Azure

Debugging Tools: Jira, BackLog

Streaming tool: AWS Kinesis

Configuration Tools: Chef, Puppet and Ansible.

Integration Tools: Jenkins, CI/CD

Web Server: Apache HTTP server, Apache Tomcat

PROFESSIONAL EXPERIENCE

Confidential, San Francisco, California

Devops Engineer

Responsibilities:

  • As a member of DevOps team, I was in charge of working in the work-flow side infrastructure to implement changes, updates and new features, using different tools like Jenkins, packer, Ansible, OpenStack, chef, etc. I also analyze and implement new technologies to automate, reduce time and facilitate continuous integration for the websites of the company.
  • Developed this application Worked as primary developer involved in DevOps managing Salt Stack based configuration management for deploying several applications and architecting an experimental transition to a Docker, Kubernetes and Spinnaker test deployment pipeline.
  • Developed application using Django framework where automated system minimizes errors, produce accuratefinancialinformation necessary for strategic planning, budgeting, and forecasting.
  • Creating restful web services for Catalog and Pricing with Django MVT, Jersey, MySQL, and MongoDB.
  • Developed Microservices by creating REST APIs and used them to access data from different customers and to gather network traffic data from servers.
  • Used Chef to configure and manage infrastructure. Created cookbooks to automate the configuration setups.
  • Established Chef Best practices approaches to system deployment with tools with vagrant and managing Chef Cookbook as a unit of software deployment and independently version controlled.
  • Implemented AWS solutions using E2C, S3, RDS, EBS, and elastic Load Balancer, auto scaling groups, Optimized volumes and EC2 instances.
  • Createdpuppet manifestsandmodulesto automate system operations and also manage deployment automation using custom Puppet modules.
  • Wrote Python scripts to parse XML documents and load the data in database. Parsers written in Python for extracting useful data from the design data base.
  • UsedGitversion control system for collaborating with teammates and maintaining code versions. UsedJirato manage workflow and track progress.
  • Utilized Kubernetes for the runtime environment of the CI/CD system to build, test deploy applications on AWS EC2, S3 and EKS.
  • Written functional test cases for Data Layer, and Search server classes using Django, XML base services using RESTFUL API.
  • Involved in debugging the failure issues by capturing the array and register dumps using Python scripts, traces and performing several experiments by interacting with the design team.

Confidential, Minnetonka, Minnesota

Devops Engineer

Responsibilities:

  • Created and maintained various DevOps related tools for the team such as provisioning scripts, deployment tools and staged virtual environments using Docker.
  • UsedGitlabfor continuous integration and deployment andGitversion control system for collaborating with teammates and maintaining code versions.
  • Handled operations and maintenance support for AWS cloud resources which includes launching, maintaining and troubleshooting EC2 instances, and S3 buckets.
  • Developed Microservices on boarding tools leveraging Python and Jenkins allowing for easy creation & maintenance of build jobs and Kubernetes deploy and services.
  • Automated setting up server infrastructure for theDevOpsservices, usingAnsible,shellandpython scripts.
  • Responsible forGatheringSemi structured data from S3 and relational structured data from RDS and keeping data sets into centralized metadata Catalogueusing AWS GLUE and extract the datasets and load them into Kinesis streams.
  • Developed the automated process for processing the payer acknowledgements that helped in resubmitting the medical claims automatically using python and MySQL modules.
  • Createdpuppet manifestsandmodulesto automate system operations. Created monitors, alarms and notifications forEC2 hostsusingCloud Watch.
  • Also worked with continuous delivery framework application with help ofJenkins(CI/CD),Puppet.
  • Involved in Continuous Integration (CI) and Continuous Delivery (CD) process implementation of web application in different servers using Jenkins along with Shell script.
  • Developed and deployed Microservices applications using AWS app mesh which manages virtual machines, storage, and networking.
  • Improving the performance while processing data by modifying functions, queries, cursors, triggers and stored procedures for MySQL database.
  • Involved in migrating a production infrastructure into an Amazon Web Services utilizing AWS Cloud formation, Code Deploy, Chef, EBS, and Ops Works.
  • Used Test driven approach for developing the application and Implemented the unit tests using Python Unit Test framework.
  • Used Flask APIs for database access and built application logic using python.
  • Designed and developed a horizontally APIs using python Flask and implemented monitoring and established best practices around using elastic search.

Confidential

Python developer

Responsibilities:

  • Built application logic using Python 3.4. (Used Django APIs for database access), designed and developed data management system using MySQL.
  • Pioneered in writing REST APIs, as part of developing web-based applications for insurance premium calculations, using Django’s REST framework.
  • Used Docker for settingAzure Container RegistrywithDockerand Docker-compose and actively involved in deployments on Docker usingKubernetes.
  • Involved in development of test environment on Docker containers and configuring those using Kubernetes.
  • Created CI/CD Pipelinesin Azure DevOpsenvironments by providing their dependencies and tasks.
  • Overseeing migration of the legacy web services with focus on scalability to a suite of cloud hosted distributed applications as reactive Microservices with domain-driven design using Scala, Cassandra, MongoDB, Apache Kafka and GraphQL.
  • Spearheaded forgatheringSemi structured data from S3 and relational structured data from RDS and keeping data sets into centralized metadata Catalogueusing AWS GLUE and extract the datasets and load them into Kinesis streams.
  • Engaged in development of Web Services using SOAP for sending and getting data from the external interface in the XML format.
  • Utilized React for its efficient data flow architecture to create a lightweight and render efficient web app that searched projects via the GitHub API through keywords.
  • Involved in Agile Methodologies, played a major role in design and developed data management system using MySQL, JSON and XML data using Python.
  • Involved in writing indexes, views, constraints, stored procedures, triggers, cursors and user defined functions or subroutines in MySQL.

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