Rishabh Bansal

DevOps Engineer

Central Delhi, Delhi, India4 yrs 5 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in AWS automation and cost optimization.
  • Proficient in building CI/CD pipelines and monitoring systems.
  • Strong background in cloud infrastructure and DevOps practices.
Stackforce AI infers this person is a Cloud Computing and DevOps specialist with a focus on automation and infrastructure management.

Contact

Skills

Core Skills

DevopsCloud ComputingMonitoringAutomationCloud Engineering

Other Skills

AI SolutionsAWSAWS Auto ScalingAWS Cloud MigrationAWS CloudFormationAWS CodePipelineAWS Command Line Interface (CLI)AWS IoTAWS LambdaAWS SecurityAgile MethodologiesAmazon CloudWatchAmazon EC2Amazon EKSAmazon EventBridge

About

⚡ Passionate DevOps Engineer driving multi-account Amazon Web Services automation, monitoring, and cost optimization. 💻 Simplifying complex cloud operations through Python scripting, real-time alerting, and end-to-end DevOps automation. I’m a DevOps Engineer with 4+ years of experience helping teams build reliable, cost-efficient, and scalable infrastructure on AWS. Currently at TGIX, I focus on: • Auditing 20+ multi-region AWS accounts to detect and eliminate unused resources (EBS, EIPs, ELBs, EC2, DynamoDB) to drive cloud cost optimization. • Developing modular Python scripts that automate resource audits using SSO-based .env credentials, generating consolidated CSV reports for all accounts. • Building centralized alert pipelines using Amazon CloudWatch, Amazon EventBridge, Amazon Simple Notification Service (SNS), and Slack via Amazon Q Chatbot for real-time multi-account monitoring. • Creating input transformers and JSON templates to deliver clean, account-wise alerts with user-level tagging support. • Executing cross-account ECR migrations to consolidate container images across AWS accounts, improving deployment efficiency and reducing duplication. I thrive on removing manual toil, simplifying complexity, and building automation that empowers teams to move faster with confidence. Always exploring better ways to integrate monitoring, security, and reliability into the DevOps lifecycle. ⚙️ Tech Stack • Source Code Management: Git, GitHub, GitLab • Containerization: Docker • Container Orchestration: Kubernetes, Amazon Elastic Container Service (ECS), Docker Swarm • Cloud Platforms: Amazon Web Services, Google Cloud Platform, Microsoft Azure • Configuration Management: Ansible • Automation & Scripting: Bash, Python • Monitoring & Logging: Prometheus, Grafana, Amazon CloudWatch • CI/CD: Jenkins • Security & Compliance: AWS Identity and Access Management (IAM), HashiCorp Vault • Cloud-Native Architecture: Microservices, Serverless, Amazon API Gateway, AWS Lambda • Tools: Microsoft Teams, Google Chat, ServiceNow 💡 Soft Skills: Collaboration • Organization • Time Management • Leadership 📩 Email: rishabh.devops1@devops.com

Experience

4 yrs 5 mos
Total Experience
1 yr 8 mos
Average Tenure
1 yr 1 mo
Current Experience

Tgix

DevOps Engineer

May 2025Present · 1 yr 1 mo · Fort Lee, New Jersey, United States · Remote

  • ● Auditing 15–20 Amazon Web Services accounts across multiple regions to identify and clean up unused or idle resources (EBS volumes, Elastic IPs, ELBs, EC2 instances, DynamoDB tables, etc.) to cut costs.
  • ● Developing modular Python scripts that loop through all accounts using SSO credentials from .env files and export consolidated CSV reports per resource type.
  • ● Building a centralized alert pipeline where Amazon CloudWatch alarms from client accounts trigger Amazon Event Bridge rules, route through Amazon Simple Notification Service (SNS), and notify Slack channels via Amazon Q Chatbot.
  • ● Implementing input transformers and custom JSON templates in EventBridge to deliver clean, account-wise Slack alerts with tagging support for individual users.
  • ● Collaborating with multiple client teams to verify audit findings, seek approvals, and track cost savings initiatives.
  • ● Executed cross-account ECR migrations to consolidate container images across multiple Amazon Web Services accounts, improving image accessibility, reducing duplication, and streamlining deployment pipelines.
AWSPythonAmazon CloudWatchAmazon EventBridgeAmazon SNSSlack+4

Healthkart

DevOps Engineer

Aug 2024Apr 2025 · 8 mos · Gurugram, Haryana, India · Hybrid

  • ● Migrated monolithic workloads to containerized Kubernetes clusters on AWS, improving deployment success rate by 40%.
  • ● Built CI/CD pipelines with Jenkins and GitLab, reducing release cycles from weeks to hours.
  • ● Deployed Prometheus + Grafana monitoring stack with custom alerting rules to improve MTTR by 30%.
  • ● Automated SSL renewals, patch management, and infrastructure audits, cutting manual overhead by 50%.
KubernetesJenkinsGitLabPrometheusGrafanaDevOps+1

Tata consultancy services

Cloud Engineer

Nov 2021Jul 2024 · 2 yrs 8 mos · Noida · Hybrid

  • ● Working as Cloud DevOps Engineer for a Europe based Client (Tata Steel Europe).
  • ● Developed a hybrid cloud infrastructure that allowed for a secure data transfer on-premise and cloud-based systems.
  • ● Configured and deployed servers to support a new cloud-based application resulting in improved scalability and performance.
  • ● Developed data pipelines in cloud-native environments like AWS/Azure/ GCP.
  • ● Implemented automation processes that reduces manual tasks by 23% and allows for faster deployment of new cloud resources.
  • ● Customizing and configuring Experience/Community for Cloud site.
  • ● Experience with written and oral communication required for client interactions.
  • ● Monitoring Application and pipeline of application for smooth CI/CD.
AWSAzureGCPData PipelinesCloud EngineeringDevOps

Education

GL Bajaj Institute of Technology and Management

Bachelor's degree — Engineering

Jan 2016Jan 2020

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