Summary
Overview
Work History
Education
Skills
Timeline
Generic
Ananda kumar

Ananda kumar

AWS_DevOps Engineer
Chennai

Summary

Experienced AWS DevOps Engineer with a track record of enhancing system efficiencies by automating CI/CD pipelines. Proficient in leveraging a suite of DevOps tools and technologies to streamline development, deployment, and operations processes, and to ensure efficient and reliable software delivery. Demonstrates strong collaboration and problem-solving abilities, achieving significant improvements in deployment speed and system reliability.

Overview

8
8
years of professional experience

Work History

AWS DevOps Engineer

Ford/Apexon
03.2022 - Current
  • Created CI/CD Pipelines for Build and Deploying Applications into Various Environments using Jenkins.
  • Creating CI/CD pipelines by integrating Git, GitHub, ant, maven, Ansible, and AWS (provisioning).
  • Creating continuous deployment pipeline by creating component processes, Applications and adding environments into handling deployments using code pipeline and AWS code deployment for various deployment scenarios like Tomcat deployment, Multiple applications deployment.
  • Proficient in using all Amazon Web Services including EC2, EBS, IAM, S3, ELB.
  • Designed and implemented Continuous Integration process using tools like Jenkins with approval from development and other affected teams.
  • Conducted business impact analysis & risk assessments of business functions. Accordingly, designed, developed, documented and implemented Disaster Recovery infrastructure for mission critical servers.
  • Coordinating resources by working closely with Project Managers for release and for all Operational Projects.
  • Implementing new projects build framework using Jenkins, Maven as build framework tools.
  • Managed and optimized CI (Continuous Integration) tools like Jenkins. Install, Configure, Administer Hudson/Jenkins Continuous Integration Tool.
  • Automate Continuous Build and Deploy Scripts for Jenkins Continuous Integration tool.
  • Provide stable build environments for product development. Scripting & automating tasks using shell for Backup, monitoring and file processing.
  • Expertise in coordinating and supporting merging process with source code control.
  • Worked on Docker/Kubernetes Containerization of cloud based applications.
  • .Worked on Docker-Compose and Docker Machine to create Docker containers for Testing applications in QA environment.
  • Used Kubernetes for automated deployments, scaling and management of containerized applications across clusters of hosts.
  • Created Docker images using Docker file, worked on Docker container snapshots, removing images and managing Docker volumes.
  • Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring using Ansible playbooks and has integrated Ansible with Jenkins.
  • Worked with cross-functional design teams to create software solutions that elevated client side experience and significantly improved overall functionality and performance.
  • Monitored automated build and continuous software integration process to drive build/release failure resolution.
  • Collaborated closely with product development teams and other stakeholders using effective communication and active listening skills.
  • Directed software design and development across multifaceted team to meet client needs for functionality, timeline and performance.

AWS DevOps Engineer

Accenture/Adecco
03.2021 - 02.2022
  • Improved code deployment efficiency by automating processes with CI/CD pipelines.
  • Maintained version control systems like Git or SVN for seamless collaboration among developers and engineers during project lifecycles.
  • Designed and implemented containerization strategies using Docker and Kubernetes, improving resource utilization and management.
  • Monitored automated build and continuous software integration process to drive build/release failure resolution.
  • Automated manual tasks through scripting languages such as Python or Shell, boosting team productivity levels.
  • Worked with software development and testing team members to design and develop robust solutions to meet client requirements for functionality, scalability, and performance.
  • Provided 24/7 on-call support for critical systems, ensuring high availability and rapid issue resolution.
  • Collaborated with team to analyze system solutions based on client requirements.

AWS Cloud Engineer

Neblio Technologies Private Limited
03.2019 - 02.2021
  • Optimized volumes and EC2 instances and created multi availability zone VPC instances.
  • Maintained Route 53, VPC, RDB, SES and SNS services in AWS cloud.
  • Implemented continuous delivery pipeline involving Jenkins, Ansible to complete automation from commit to deployment.
  • Assisted developers with establishing and applying appropriate branching, labeling convections using GIT source control.
  • Expertise in coordinating and supporting merging process with source code control.
  • Implemented and supported CI process via Jenkins.
  • Implemented setup for master slave architecture to improve performance of. Jenkins. Configure scalable storage and archive storage (Glacier) in cloud.
  • Creating folders in S3 bucket and uploading images and files and maintain buckets and folder permissions.
  • Creating S3 Buckets and also managing policies for S3 buckets and utilized S3 bucket and Glacier for storage and backup on AWS.
  • Configure Content Delivery Network (CDN) CloudFront using S3 Bucket to improve site performance.
  • Working on Multiple AWS instances, set security groups, Elastic Load Balancer and AMIs, Auto scaling to design cost effective, fault tolerant and highly available systems.
  • Configuring and Networking of Virtual Private Cloud (VPC). Setup/Manage VPC, Subnets make connection between different zones.
  • Setup/Manage Databases on Amazon RDS. Monitoring servers thorough Amazon CloudWatch, SNS.
  • Creating users and providing the with suitable permissions. Account management for work place environment users.
  • Setting up user accounts; assign privileges, and user permissions working with file systems like NFS, FTP installations and of apache web servers.
  • Setting up of crontab jobs for scheduling few tasbs.
  • Configuring Mariadb database, creating users and providing access rights to various users.
  • Strong conceptual understanding of Security, VI, VIM, Nano Editors.
  • Building customized Amazon Machine Images, taking snapshot on monthly basis for backup purpose.
  • Troubleshoot all issues related to Linux Operating System and provide support for all DEV and QA environments.
  • Conducted deep-dive hands-on training sessions to transfer knowledge to customers considering or already using AWS.
  • Partnered with sales team to design solutions for customers and drive AWS adoption and revenue .
  • Participated in architectural discussions to build confidence and promote customer success when developing new and migrating existing applications,software and services on AWS platform.
  • Oversaw development and maintenance of organization computer systems and intranet.

Hadoop Admin

Lionova
06.2016 - 02.2019
  • Ensured smooth functioning of Hadoop clusters, performing routine maintenance tasks such as upgrades, patches, and fixing bugs.
  • Optimized resource utilization within Hadoop clusters, configuring YARN capacity scheduler settings based on user requirements and workload priorities.
  • Streamlined data ingestion processes, automating workflows using Apache NiFi and Sqoop for efficient data management.
  • Maximized cluster availability through proactive monitoring and swift troubleshooting of issues pertaining to hardware or software failures.
  • Diagnosed and resolved hardware and software issues.
  • Planned and implemented upgrades to system hardware and software.
  • Analyzed network traffic and performance metrics to optimize system performance using Grafana.
  • Maintained flexible schedule and responded to after-hours and weekend emergencies.
  • Enhanced the scalability of existing Hadoop infrastructures by incorporating new components such as HBase and Cassandra for real-time data storage requirements.
  • Optimized Hadoop clusters by implementing capacity planning and performance tuning strategies.

Education

B.Tech - Computer Science And Engineering

JNTU Anantapur
04.2001 -

Intermediate - Math, Physics, Chemistry

Narayana Jr. Colloge
04.2001 -

SSC -

Sri Kodanda Rama Swamy High School
04.2001 -

Skills

Version Control system: Git, GitHub

Build and CI/CD tools: Jenkins, GitHub Actions

Configuration Management: Ansible, Terraform

Containerization Tool: Docker, Kubernetes

Cloud Platform: Amazon Web Services

Scripting Languages: Python, Shell

Application server: Apache Tomcat Server

Timeline

AWS DevOps Engineer

Ford/Apexon
03.2022 - Current

AWS DevOps Engineer

Accenture/Adecco
03.2021 - 02.2022

AWS Cloud Engineer

Neblio Technologies Private Limited
03.2019 - 02.2021

Hadoop Admin

Lionova
06.2016 - 02.2019

B.Tech - Computer Science And Engineering

JNTU Anantapur
04.2001 -

Intermediate - Math, Physics, Chemistry

Narayana Jr. Colloge
04.2001 -

SSC -

Sri Kodanda Rama Swamy High School
04.2001 -
Ananda kumar AWS_DevOps Engineer