Vamshikrishna Chandana

DevOps Engineer

Bengaluru, Karnataka, India2 yrs 8 mos experience

Highly StableAI ML Practitioner

Key Highlights

Expert in Azure DevOps and Kubernetes for CI/CD.
Reduced cloud costs by 40% through resource optimization.
Implemented scalable CI/CD pipelines for 200+ microservices.

Stackforce AI infers this person is a DevOps Engineer specializing in SaaS with strong expertise in CI/CD and cloud optimization.

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Skills

Core Skills

Azure DevopsKubernetesAutomationCi/cdMicroservices ManagementCost ManagementCloud Optimization

Other Skills

microservicestest automationGitHubDatabricksAI/MLKusto Query Language (KQL)cost optimizationCI/CD toolsDocker ComposeContinuous IntegrationContinuous Delivery (CI/CD)BashKEDAcloud cost optimizationDocker

About

As a DevOps Engineer with 3+ years of hands-on experience, I have developed a strong proficiency in Azure Cloud and CI/CD setups. My expertise includes deploying CI/CD systems using Azure DevOps on Kubernetes container environments, ensuring seamless integration and delivery pipelines. I am skilled in utilizing Kubernetes and Docker for building, testing, and deploying CI/CD systems in runtime environments. I have extensive experience in Linux and scripting languages like Bash, which has allowed me to automate and streamline various processes, enhancing overall efficiency and productivity. I am proficient in CI/CD tools such as Azure DevOps. Additionally, I have worked extensively with logging and monitoring tools, like Azure App Insights, Grafana, and AppDynamics. Furthermore, I have set up a KTOR-based pipeline for a mono-repo, enabling a single pipeline for all builds, streamlining the development process and improving efficiency. I also handle Java/Spring Boot-based pipelines, ensuring robust and efficient build and deployment processes.

Experience

2 yrs 8 mos

Total Experience

2 yrs 8 mos

Average Tenure

Current Experience

Tata digital

3 roles

Sr. Digital Engineer - II

Apr 2025 – Mar 2026 · 11 mos · On-site

Deployed and managed a low-code/no-code automation tool with Builder-tools, integrating 5+
microservices to streamline test automation across the organization to reduce the manual work.
Automated Databricks workflows with GitHub integration and orchestrated data pipelines for the AI/ML team.
Designed time-based automation for DWH jobs; pipelines auto-trigger at dedicated schedules, reducing manual effort by 100% and guaranteeing on-time refreshes.

Azure devopsKubernetesAzure DevOps

Sr. Digital Engineer - I

Promoted

Sep 2024 – Apr 2025 · 7 mos · On-site

Worked on a POCs for CPU and memory cost optimization across multiple tracks, reducing cloud expenses by 40% through resource utilization analysis using KQL query.
Managing deployment and initial setup of Microservices for the unified commerce platform team, while the developers and architects design a centralized database for Croma, TataNeu, and Cliq to reduce huge costs.
As a team we have setup AML, Outline, PA(Payment Aggregator) projects deployed into multiple VM's using CI/CD tools, Jfrog artifactory, Docker Compose, GCR(for the image container) for the Payments Organisation
Built production-grade logging architecture using Fluentd (Azure Blob Storage for persistent logs and faster P0/P1 incident resolution).

Azure devopsKubernetesAzure DevOpsMicroservices Management

Digital Engineer

Jul 2023 – Sep 2024 · 1 yr 2 mos · On-site

Implemented KEDA-based (Cron-Job) autoscaling for Kubernetes pods and optimized development
workflows, reducing cloud costs by ~30%.
Expertise in building and managing scalable CI/CD pipelines with Azure DevOps in Kubernetes
environments, leveraging Docker for efficient containerized application deployment and automated testing.
Have set up a KTOR-based pipeline for a mono-repo, enabling a single pipeline for all builds, streamlining the development process and improving efficiency.
Deployed and monitored automated CI/CD processes for 200+ microservices and various
codebases/TechStack (Spring Boot, Ktor, Python) to ensure smooth build/release cycles.

Continuous IntegrationContinuous Delivery (CI/CD)BashCI/CDKubernetes