YASHWANTH SAI GANAPARTHI

Cloud DevOps Engineer

Bengaluru, IN.

About

Highly skilled Cloud DevOps Engineer with 5 years of experience in optimizing and automating mission-critical deployments across AWS and Azure. Proven ability to design and implement robust CI/CD pipelines, enterprise containerization strategies, and secure infrastructure-as-code solutions that maximize scalability, compliance, and efficiency while driving significant cloud cost savings.

Work

DXC Technology

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DevOps & Cloud Engineer

Bengaluru, Karnataka, India

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Summary

Led DevOps initiatives and cloud engineering efforts, designing and implementing CI/CD pipelines and managing containerized services across multi-cloud environments for enhanced scalability and efficiency.

Highlights

Designed and implemented robust CI/CD pipelines using GitHub Actions for over 11 microservices, automating build, test, Dockerization, and EKS deployment processes.

Optimized CI/CD workflows for Java applications, improving build and deployment times by 20% and integrating SonarQube, OWASP Dependency-Check, and Trivy for security and quality gates.

Managed containerized microservices by creating custom Dockerfiles, publishing images to DockerHub and Amazon ECR, and securely deploying applications across environments via GitHub Actions and Docker.

Deployed and managed microservices on AWS EKS, leveraging Kubernetes for scalability and high availability, and led Kubernetes adoption across teams, improving resource utilization and reducing cloud costs by 20%.

Provisioned and managed AWS infrastructure (EKS, VPC, EC2, IAM, S3 with lifecycle policies, RDS, ALB, ECR) using Terraform and CloudFormation, including configuring secure S3 backends with state locking for multi-team remote state management.

Integrated AWS Lambda and CloudWatch for event-driven automation and monitoring, while diagnosing and resolving complex AWS VPC peering and network connectivity issues to enhance multi-team access.

Delivered automation and CI/CD knowledge-sharing sessions to cross-functional teams, fostering best practices and enhancing overall engineering capabilities.

Education

GITAM University

Bengaluru, Karnataka, India
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Bachelor of Technology (B.Tech) Computer Science and Engineering

Languages

English

Certificates

Microsoft Certified: Azure Fundamentals (AZ-900)

Microsoft

AWS Certified Cloud Practitioner

Amazon Web Services (AWS)

Microsoft Certified: Azure Administrator Associate (AZ 104)

Microsoft

Microsoft Certified: Azure Developer Associate (AZ-204)

Microsoft

Skills

Cloud Platforms

AWS, Azure, Cloud Migration, Hybrid Cloud Deployment.

CI/CD & DevOps Tools

Jenkins, GitLab CI, GitHub Actions, Maven, SonarQube, Nexus Repository Manager, Ansible, Terraform, CloudFormation, Azure Pipelines, ARM Templates, PowerShell, Build Automation, Continuous Integration, Continuous Deployment.

Version Control

Git, GitLab, SCM, Branching, Tagging, Code Merges, Conflict Resolution.

Operating Systems

Linux, Windows.

Web/Application Servers

Apache Tomcat, HTTP Server.

Scripting & Programming

Shell Scripting, Node.js, Java.

Networking

AWS VPC, AWS Route 53, AWS ALB.

Security & IAM

AWS IAM, IAM Roles for Service Accounts (IRSA), Amazon Cognito, Azure Key Vault, OWASP Dependency-Check, Trivy, Security Best Practices.

Messaging & Event Streaming

Kafka, Azure Event Hubs, AWS SNS/SQS.

Methodologies

Agile, Build & Release Process.

Containerization & Orchestration

Docker, Docker Swarm, Kubernetes (k8s), Amazon EKS, Azure Kubernetes Service (AKS), Dockerfiles, Container-based Deployments.

Monitoring & Logging

Nagios, PagerDuty, Grafana, AWS CloudWatch, Azure Monitor, Prometheus, ELK Stack, Graylog.

Databases & Storage

Amazon S3, Amazon RDS, Amazon EFS, Amazon EBS, Azure Blob Storage, Azure SQL Database, Azure Cosmos DB.

Serverless Computing

AWS Lambda, Azure Functions.

Cost Management & Optimization

AWS Cost Explorer, AWS Budgets, Azure Cost Management, Kubernetes Autoscaling, Amazon S3 Storage Classes.

Projects

Azure Self-Heal & Reporting Automation

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Summary

Refactored an Azure Self-Heal solution to a Centralized Subscription model for enterprise-scale monitoring and developed end-to-end Power BI dashboards for Azure reporting, delivering actionable insights to stakeholders.