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Sai Praneetha

@saipraneetha

DevOps Engineer at Barnes & Noble running AWS EKS microservices and CI/CD pipelines that cut deployment time from 2 hours to 15 minutes.

United States
Message

At Barnes & Noble, I own Jenkins and AWS CodePipeline workflows for 25+ containerized microservices and operate production workloads on Amazon EKS. I cut deployment time from 2 hours to 15 minutes and support zero-downtime releases.

Previously, at Accenture, I automated CI/CD and AWS infrastructure for client applications, reducing release preparation from 3 days to 4 hours. I also wrote Python and Bash automation and supported production incident resolution; earlier, as a Technical Intern – DevOps at DXC Technology, I maintained build jobs and automated routine server tasks.

Experience

Work history, roles, and key accomplishments

BI
Current

DevOps Engineer

Barnes & Noble, Inc

Sep 2024 - Present (2 years 2 months)

Owns Jenkins and AWS CodePipeline CI/CD for 25+ containerized microservices, cutting deployment time from 2 hours to 15 minutes. Operates production workloads on Amazon EKS with zero-downtime releases and maintains 99.9% availability.

Accenture logoAC

Associate Software Engineer – DevOps

May 2021 - Aug 2023 (2 years 3 months)

Automated build, test and release workflows with Jenkins, AWS CodePipeline and AWS CodeBuild for 10+ client applications, cutting release preparation from 3 days to 4 hours. Provisioned EC2, S3, IAM, RDS, Lambda and SQS with Terraform and CloudFormation.

DXC Technology logoDT

Technical Intern – DevOps

Oct 2020 - Feb 2021 (4 months)

Maintained Jenkins build jobs, Git repositories and Maven builds for deployments to development and test environments. Set up and configured 15+ Linux servers and AWS EC2 instances, including packages, users, file permissions, S3 buckets, security groups and IAM roles.

Education

Degrees, certifications, and relevant coursework

CU

Central Michigan University

Master of Science, Business Data Analytics

2023 - 2025

Master of Science in Business Data Analytics from Central Michigan University, completed in May 2025.

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