Praveena Velagapudi
@praveenavelagapudi
Dedicated DevOps Engineer with 5+ years of IT experience.
United StatesWhat I'm looking for
I am a dedicated and results-driven DevOps Engineer with over 5 years of professional experience in IT. My expertise lies in designing, developing, and integrating DevOps tools, cloud automation, and configuration management. I specialize in creating robust CI/CD pipelines and collaborating with cross-functional teams to deliver scalable solutions.
Throughout my career, I have successfully established AWS DevOps platforms, managed multiple projects, and implemented YAML for seamless process management. My technical proficiency includes AWS, Kubernetes, Terraform, and Docker, which I have utilized to optimize application performance and streamline deployment processes. I am committed to leveraging technology to drive organizational growth and enhance operational efficiency.
Experience
Work history, roles, and key accomplishments
DevOps Engineer
Health First
Jan 2024 - Present (1 year 7 months)
Designed, implemented, and managed Kubernetes clusters on Google Cloud Platform, ensuring high availability and scalability. Developed infrastructure as code using Terraform to provision and configure Kubernetes clusters and related resources.
DevOps Engineer
ICICI Bank
Jul 2019 - Present (6 years 1 month)
Created and maintained secure AWS cloud-based application and data hosting solutions, including storage services like S3 and RDS. Implemented CI/CD pipelines using AWS CodeCommit, CodeBuild, CodeDeploy, and CodePipeline for automated deployments.
DevOps Engineer
Well Fargo
Feb 2017 - Present (8 years 6 months)
Automated the build and deployment process for applications, re-engineering setups for better user experience and continuous integration. Leveraged Ansible playbooks to automate provisioning and configuration management across multiple environments.
Education
Degrees, certifications, and relevant coursework
WUWilliam Jessup University
Masters, Computer Science
Completed a Master's degree in Computer Science. The curriculum focused on advanced topics within the field, preparing for complex technical roles.
Tech stack
Software and tools used professionally
AWS CLI
Splunk
Blockchain
Amazon EC2
Google Cloud Platform
GitHub
Bitbucket
Kubernetes
Velero
Jenkins
DB
MySQL
PostgreSQL
MongoDB
Gmail
Node.js
Spring Boot
Redis
Terraform
AWS CloudFormation
Azure DevOps
Jira
Java
PHP
JSON
Perl
Istio
Grafana
Kibana
Prometheus
Nagios
Ubuntu
Linux
Windows
Chocolatey
Datadog
Elasticsearch
Ansible
AWS Lambda
Azure Functions
Amazon RDS
Azure SQL Database
sso
Apache Tomcat
JBoss
Amazon Web Services (AWS)
SQL
Azure Blob Storage
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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