Summary
Overview
Work History
Education
Skills
Timeline
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Chaitanya Kandula

Chaitanya Kandula

Hatfield,Hertfordshire

Summary

Highly skilled cloud and DevOps professional with extensive expertise in AWS, Kubernetes, Docker, and Terraform. Proficient in configuration management tools such as Ansible, Chef, and Puppet, alongside version control systems including GitLab, GitHub, Bitbucket, and Git. Demonstrates strong capabilities in monitoring solutions like Nagios, Splunk, Grafana, and Prometheus to ensure system reliability. Adept at scripting with Python, Shell Scripting, Ruby, and Perl to automate processes across Linux, Windows, and Unix environments. Experienced in database management with Oracle, MySQL, SQL Server, MongoDB, Cassandra and NoSQL technologies. Committed to delivering scalable solutions through Agile Scrum methodologies while leveraging tools like Jenkins for CI/CD pipelines.

Overview

7
7
years of professional experience
2017
2017
years of post-secondary education

Work History

AWS DevOps Engineer

VICTORIAN SOLUTION LIMITED
Slough, United Kingdom
10.2021 - 04.2025
  • This project involves the implementation, administration, and management of cloud servers and applications (Hybrid)
  • Resolving user queries, client stories, and operation requests obtained from Jira Dashboard is part of daily tasks
  • The AWS and private cloud environments were used for this project
  • We also maintained and monitored all system frameworks and provided after call support to all systems and maintain optimal Linux knowledge
  • Made enhancements to current CI/CD pipeline to reflect the Agile Methodology and be able to deliver the code to the Environments for a thorough testing
  • Ansible was used for deployment and configuration, the Jenkins pipeline and GitHub repository were used to fulfill build requirements, and Docker containers were deployed for some apps in response to user requests
  • Designed and deployed a sizable application with an emphasis on high availability, fault tolerance, and auto-scaling in Amazon Cloud Formation, using practically the whole AWS stack (including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM)
  • Using JIRA as a ticket management and workflow platform to monitor and maintain the automated build and continuous integration process to guarantee proper build execution and speed up the resolution of build errors
  • Working on deployment, scalability, and management of Docker containers were orchestrated using Kubernetes
  • Using Terraform for provisioning AWS
  • Composing a Docker Registry oversees building various versions of Docker images and publishing them to the Nexus repository
  • GitHub source code was used to create looper pipelines for building Docker images
  • Experience in Assisted in deploying the content cloud platform to Amazon Web Services using EC2, S3, and EBS, as well as configuring and maintaining Amazon Web Services resources
  • Creating Continuous Delivery pipeline with Sonar Server, Jenkins, infrastructure to run these packages, and other software components like Maven using Ansible playbooks
  • Creating Shell scripts were used to automate the zero-downtime deployment procedure in Web Logic/Web Sphere
  • Working with a variety of scripting languages, including Python, Power Shell, Ruby, and Bash
  • Using Chef, Team city, and Cloud Formation Shell Scripts, maintained Oracle setup and operations
  • Working on Setting up an ELK stack for configuration and management allows log files from all servers to be collected, searched, and analyzed, used ELK Stack to analyze system logs, Python scripts were created to push data from Dynamo DB to My SQL Database
  • Creating Terraform scripts and cloud formation templates for different AWS services, as well as build and release pipelines for deploying infrastructure into AWS using pipeline as a code
  • Distribute packages using Amazon Package Distributor to all instances that are running in the accounts
  • For Splunk monitoring, we built up Linux and Windows setups
  • Using Amazon Snowball, Ansible, and a cloud formation template, one may migrate an existing on-premises application to AWS
  • Working on Build out server automation using CI/CD (Continuous Integration and Continuous Deployment) tools like Jenkins, Maven, ANT, and Nexus for deployment & build management
  • Experience in CI/CD pipeline configuration with Jenkins, GitHub, Terraform, and AWS
  • Knowledge on Gradle, GitLab-CI, Docker, and Open shift were used while working on build workflows
  • Good knowledge of the Agile/Scrum techniques

DevOps Engineer

HCL Technologies
Hyderabad
10.2018 - 10.2021
  • In this project, we created a loan management system that deals with the lending of money by keeping track of all payments given, received, or taken, as well as computing the amount with interest
  • Furthermore, maintains the weekly and monthly payment schedule
  • Experienced in development of continuous integration (CI) system has been improved to include
  • Jenkins and GIT utilized cutting-edge DevOps technology to implement the services
  • Worked with the fundamental elements of Terraform, such as Terraform as code, Execution plans, Resource Graphs, and Change Automation
  • Experience building scripts in the programming languages Perl, Groovy, and Python
  • Uses Python to automate the procedures for automatic deployment in Linux-based systems
  • Experience on constructing a comprehensive infrastructure using Terraform and cloud formation
  • Worked on Web servers, which include Tomcat and Apache
  • Participated in setting up JIRA as a defect tracking system, including configuring several procedures, customizations, and plugins
  • Worked and maintained Power Shell scripts for Maven builds that were linked to building, POM.xml and other build configuration files were created and changed
  • Use Ansible to deploy Tomcat/Ansible applications
  • Developed the internal build systems used by the core development team that are built on automation tools, such the enterprise-level Jenkins, GIT Hub, and others
  • Created Docker containers, Docker consoles, and automation systems for managing the application life cycle and application servers using configuration management tools like Docker
  • Used Ansible Tower, made several projects and inventory file templates, scheduled and moved servers with the appropriate configuration changes, tested and deployed the machines, and used Ansible commands
  • Developed MAVEN and ANT as a Build Tool for the construction of deployable artifacts (war & ear) from source code
  • Used Jenkins and Bit Bucket/Git were integrated to automatically check out code
  • Early in the SDLC, projects should define their release process and policies
  • Worked on Bamboo deployed a Windows application while Jenkins Pipeline was used to install Docker Registry for local upload and download of Docker images as well as through Docker Hub
  • Worked with Kubernetes to automate the deployment, scaling, and management of application containers across host clusters
  • Good UNIX script writing skills with Python and Shell
  • Red Hat Linux file system creation and administration

Education

Bachelor of Science - Computer Science

Kakatiya university
Khammam, India

Skills

AWS

  • Cloud
  • Ansible
  • Chef
  • Puppet
  • GitLab
  • Git
  • GitHub
  • Bitbucket
  • Jira
  • Nagios
  • Splunk
  • Grafana
  • Prometheus
  • Python
  • Shell Scripting
  • Ruby
  • Perl
  • Docker
  • Kubernetes
  • Linux
  • Windows
  • Unix
  • Jenkins
  • Terraform
  • Oracle
  • MySQL
  • Relational
  • NoSQL
  • SQL server
  • MongoDB
  • Cassandra
  • Tomcat
  • Web Logic
  • Web Sphere
  • Nginx
  • Apache
  • Ant
  • Maven
  • Agile Scrum
  • Waterfall
  • OpenShift

Timeline

AWS DevOps Engineer

VICTORIAN SOLUTION LIMITED
10.2021 - 04.2025

DevOps Engineer

HCL Technologies
10.2018 - 10.2021

Bachelor of Science - Computer Science

Kakatiya university

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Chaitanya Kandula