Reddy Sudha Nayuni

DevOps Engineer

Bengaluru, Karnataka, India4 yrs 6 mos experience

Most Likely To Switch

Key Highlights

Proficient in CI/CD pipeline implementation.
Experienced in managing cloud services and infrastructure.
Skilled in database management and optimization.

Stackforce AI infers this person is a DevOps Engineer with expertise in cloud infrastructure and CI/CD processes.

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Skills

Core Skills

Ci/cdDevopsDatabase ManagementCloud Services

Other Skills

AWSAWS CloudWatchAgile Software DevelopmentAnsibleAzure BoardsAzure PipelinesAzure ReposBash scriptingCommunicationDockerDocker ProductsGitGitHubGitLabInfrastructure Automation

About

Good Experience with Azure Devops, Azure Boards, Azure Pipelines, Azure Repo, Ngnix, Amazon Web services(AWS) EC2 , S3 , Route53 , Elastic load Balancer, SNS , Auto Scaling , Amazon SQS and Jenkins, CI/CD, SQL, Docker, Maven. Project Experience: Proficient in using DevOps tools and services for software development, including Azure Boards, Azure Repos, and Azure Pipelines. Experienced in configuring and managing NGINX web servers for efficient content delivery and load balancing. Skilled in using Git for version control and source code management, including branching, merging, and resolving conflicts. Familiar with Jira for project management and issue tracking, including agile methodologies such as Scrum and Kanban. Knowledgeable in using Jenkins for continuous integration and continuous delivery (CI/CD) pipelines, including building, testing, and deploying applications. Proficient in working with Docker containers and container orchestration platforms for deploying and managing microservices-based applications. Experienced in working with SQL databases for storing and retrieving data, including query optimization and performance tuning. Familiar with AWS cloud services and tools for building and deploying scalable and resilient applications. Skilled in using Python scripting for automation and tooling, including APIs, data analysis, and testing. Proficient in working with Linux operating systems and shell scripting for system administration and automation

Experience

Tata consultancy servicess

System Engineer

Sep 2024 – Present · 1 yr 6 mos · Bengaluru, Karnataka, India

Onnet systems india pvt ltd

DevOps Engineer

May 2023 – Sep 2024 · 1 yr 4 mos · Bengaluru, Karnataka, India · On-site

Implemented CI/CD Pipelines using GitLab &
Jenkins .
Improved code deployment efficiency by
automating processes with CI/CD pipelines
which reduced timelines for clients.
Hands on experience in setting up of servers
MongoDB and MYSQL
Implemented DB clustering and Replication
for MYSQL and Mango DB.
Maintained version control systems GitHub
and GitLab .
Automated manual tasks through Bash
scripting languages, boosting team
productivity levels.
Hands on experience in implementing
Terraform and Ansible for creation of
configuration management files.
Implemented Log Monitoring with AWS
Cloud watch
Well versed in troubleshooting of
configuration files and logs to uncover root
causes of problems.
Evaluated emerging technologies for
potential adoption into existing workflows,
driving continuous improvement initiatives.
Collaboration among developers and engineers during project lifecycles

CI/CDGitLabJenkinsMongoDBMYSQLGitHub+5

Pwc

Software Engineer

Jun 2021 – Oct 2022 · 1 yr 4 mos · Bengaluru, Karnataka, India

Proficient in using Azure DevOps tools and services for software development, including Azure Boards, Azure Repos, and
Azure Pipelines.
Experienced in configuring and managing NGINX web servers for efficient content delivery and load balancing.
Skilled in using Git for version control and source code management, including branching, merging, and resolving conflicts.
Familiar with Jira for project management and issue tracking, including agile methodologies such as Scrum and Kanban.
Knowledgeable in using Jenkins for continuous integration and continuous delivery (CI/CD) pipelines, including building,
testing, and deploying applications.
Proficient in working with Docker containers and container orchestration platforms like Kubernetes for deploying and
managing microservices-based applications.
Experienced in working with SQL databases for storing and retrieving data, including query optimization and performance
tuning.
Familiar with AWS cloud services and tools for building and deploying scalable and resilient applications.
Skilled in using Python scripting for automation and tooling, including APIs, data analysis, and testing.
Proficient in working with Linux operating systems and shell scripting for system administration and automation.