Anubhav Arora

DevOps Engineer

Noida, Uttar Pradesh, India5 yrs 6 mos experience

Most Likely To Switch

Key Highlights

Reduced recovery time by ~30% with automation.
Cut manual effort by ~25% through IaC.
Containerized services for scalable deployments.

Stackforce AI infers this person is a Cloud and DevOps Engineer specializing in scalable infrastructure solutions.

Contact

anubhav1941@gmail.com LinkedIn

Skills

Core Skills

Cloud Platforms & InfraDevops & AutomationMonitoring & Observability

Other Skills

AWSAWS CloudWatchAmazon Web Services (AWS)AnsibleCI/CD pipelinesDOCKERDockerEnglishEnglish writingFoundation Certificate in IT Service ManagementGit/GitHubGitHubGitlabGrafanaIT Service Delivery

About

I am a Cloud & DevOps Engineer with hands-on experience in building scalable, reliable, and automated infrastructure. Currently at HCL Tech, I design, deploy, and manage cloud workloads while improving efficiency through automation, containerization, and observability. My expertise spans: Cloud Platforms & Infra: AWS (EC2, RDS, S3, IAM), Azure (AZ-900 certified) DevOps & Automation: Docker, Kubernetes, Terraform, Ansible, CI/CD pipelines, Git/GitHub, Jenkins Monitoring & Observability: Prometheus, Grafana, AWS CloudWatch Scripting & Tools: Linux Shell, PowerShell Key highlights: Reduced recovery time by ~30% with automated backup and disaster recovery Cut manual effort by ~25% through IaC-driven provisioning and patching Containerized services with Kubernetes for scalable, fault-tolerant deployments Currently pursuing an M.Tech in Cloud Computing from BITS Pilani to deepen my expertise in cloud-native architectures. Open to connecting with professionals in Cloud, DevOps, and Infrastructure Engineering — let’s build reliable systems together. Email: anubhav1941@gmail.com

Experience

Hcltech

Cloud Database Engineer

Dec 2023 – Present · 2 yrs 3 mos · Noida, Uttar Pradesh, India · On-site

Deployed and managed SQL workloads on AWS (EC2, RDS, S3, IAM) with automated backup and disaster recovery, reducing recovery time by ~30% and improving system availability.
Containerized SQL services with Docker and orchestrated deployments using Kubernetes, enabling scalable, fault-tolerant, and high-availability environments.
Built Git-based version control and CI/CD pipelines, streamlining schema updates and deployments while
minimizing manual errors.
Automated database provisioning, patching, and configuration via Terraform (IaC) and Ansible, cutting manual effort by ~25% and ensuring consistency across environments.
Implemented monitoring and observability solutions (Prometheus, Grafana, AWS CloudWatch) for proactive alerting and improved system visibility.
Applied Linux system administration skills to manage servers, optimize performance, and troubleshoot production issues effectively.
Optimized SQL database performance within cloud-native DevOps workflows, ensuring seamless integration with applications and infrastructure pipelines.