Freelancers using Terraform in India
Freelancers using Terraform in India
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Harshil Yogi
Ahmedabad, India
AWS DevOps Engineer | Terraform, CI/CD & Automation
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AWS DevOps Engineer | Terraform, CI/CD & Automation
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AI Content Automation on AWS | GitHub + Slack + Bedrock Description:- I built a production-grade AI content automation system that transforms GitHub commits and Slack conversations into authentic LinkedIn posts. The solution uses AWS, Terraform, ECS Fargate, and EventBridge to automate content generation, approval, and scheduling. - Automated content generation from GitHub and Slack activity - Human-in-the-loop Slack approval workflow - Security filtering to reduce sensitive data exposure - Scheduled content publishing with EventBridge - Production-ready AWS infrastructure managed with Terraform The result is a reliable, scalable automation pipeline that eliminates repetitive content creation while maintaining human control over what gets published. My Role: AWS DevOps Engineer Technologies: AWS ECS · Fargate · Terraform · Docker · CI/CD · EventBridge · GitHub · Slack · AWS Bedrock
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I built an AI-powered AWS log investigation system that allows teams to query logs stored in their existing S3 buckets using natural language. The solution uses AWS Lambda, API Gateway, S3, Bedrock, and Terraform to: - Convert natural-language questions into structured log searches - Automatically discover and filter JSON, CSV, JSONL, and compressed log files - Search across multiple S3 buckets without migrating log data - Use Bedrock to summarize results and provide actionable insights - Keep the log-search function private with IAM-based access control The serverless architecture delivers typical queries in 2–4 seconds at approximately $0.001 per query, while keeping log data within the AWS environment. Technologies:- AWS Lambda · API Gateway · S3 · AWS Bedrock · Terraform · IAM · Python
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Designed and implemented an AI-powered AWS SRE automation platform to reduce manual infrastructure monitoring and security reporting. The solution included two independent workflows: • AI-powered EC2 monitoring that detects CPU usage patterns, analyzes them with AWS Bedrock, and generates scaling recommendations with an approval-based remediation workflow. • Automated vulnerability reporting using AWS Inspector, Lambda, S3, Glue, Athena, Bedrock, and QuickSight to generate monthly security insights and executive dashboards. Built the infrastructure using Terraform with an event-driven, serverless AWS architecture. The solution improved infrastructure visibility, reduced manual operational effort, accelerated incident detection, and automated security reporting.
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Automated Windows AMI Patching & AWS Infrastructure Automation I built an automated AWS pipeline to eliminate the manual process of patching Windows servers and updating the AMI used by an Auto Scaling Group. The solution uses AWS Image Builder, SSM Patch Manager, CloudWatch, EventBridge, Lambda, and CloudFormation to automate the complete patching lifecycle. Automated Windows patch scanning and installation Automated Sysprep and patched AMI creation CloudWatch logging for patching and audit visibility Automatic Launch Template and ASG updates Preserved existing production configuration The infrastructure is deployed through a single CloudFormation template, creating a repeatable and auditable workflow with minimal manual intervention. My Role: AWS DevOps / Cloud Automation Engineer Technologies: AWS Image Builder, SSM Patch Manager, EC2, Auto Scaling, Lambda, EventBridge, CloudWatch, CloudFormation, IAM, Windows Server, PowerShell
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Terraform
(3)
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Kumar Harshwardhan
Dhanbad, India
Gate Qualified and under 500 rank in Computer Science.
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Gate Qualified and under 500 rank in Computer Science.
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Terraform on AWS Infrastructure Implementation
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5
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Terraform on AWS Infrastructure Implementation
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6
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Terraform on AWS Infrastructure Implementation
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5
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Terraform
(3)
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Farhan Ahmad
India
Cloud and DevOps Expert
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Cloud and DevOps Expert
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DevSecOps Implementation
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Azure Infrastructure Provisioning Automation through Terraform
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Secure and Automate Infrastructure for one the largest Insurance
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Vikaskumar dane
Pune, India
DevOps Automation | Full stack Developer | Java Developer
5.0
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25
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DevOps Automation | Full stack Developer | Java Developer
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🚀 Troubleshooting Critical Terraform Drift in AWS Production Project Description / Post Body: I recently encountered a critical CI/CD failure while deploying a serverless backend to a new AWS environment. The pipeline was paralyzed due to "Resource Drift"—a mismatch between the Terraform state file and the actual infrastructure. The Challenge: A manual "hotfix" in the AWS Console created "ghost resources" (Secrets) that Terraform couldn't see. This caused repeated deployment failures and blocked the staging environment. The Solution: Instead of tearing down the environment, I used the terraform import workflow to: Documented the full fix in my technical blog (Link below) https://shorturl.at/ZJR3g
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From Manual Clicking to Terraform Magic
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Hey fellow Contra builders! 👋✨ I'm Vikaskumar, a Full Stack Developer pioneering the future with Web3. Currently crafting a decentralized app using TypeScript, Next.js, Tailwind, Node.js, and Ether.js—where smart contracts meet sleek modern UI! (client returning from LinkedIn!) Check out this Next.js-powered UI sneak peek 👀. Looking to connect with new clients and collaborators here at Contra Too. Open to feedback, partnerships, and sharing ideas with fellow tech visionaries! 🚀 #web3project #fullstackdeveloper #nextjs #javascript #typescript #tailwindcss #etherjs #OpentoWork #thenewcontra
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Hello community! 👋 I'm Vikaskumar, a Full Stack Developer from India passionate about building web solutions 🚀 Currently working on old client Project, an AI app that optimizes resumes for better job matches. Still in Process, with Authentication Love turning complex problems into clean, scalable code! Always excited to connect with fellow developers and collaborate on innovative projects 💻 Looking forward to connecting with you all✨ #shareyourwork #thenewcontra #fullstackdeveloper
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249
Terraform
(2)
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Ankit Jodhani
India
DevOps Engineer | AWS Specialist | Backend Developer
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DevOps Engineer | AWS Specialist | Backend Developer
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Implement Two-Tier Architecture in AWS with Terraform
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Building a Resilient Three-Tier Architecture on AWS with Deploy…
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Deploying Dockerized App on AWS EKS Cluster using ArgoCD and Gi…
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KIRAN PAWAR
Mumbai, India
Microsoft Azure Infra and DevOps Expert
New to Contra
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Microsoft Azure Infra and DevOps Expert
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Terraform code developed by me is stored in my public github repository.
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As you can see in the attached picture, I have deployed all the infrastructure in Azure using Terraform and CI/CD Pipeline.
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This architecture represents an end-to-end Azure cloud platform that I designed and automated using Terraform and Azure DevOps CI/CD pipelines. The goal was to provision a secure, scalable, and reusable infrastructure with minimal manual intervention. What I built Infrastructure as Code (Terraform) (https://github.com/Kiran2881991/Nexafold-Terraform-infra-deploy) Developed reusable Terraform modules for Azure resources. Used remote state management and environment-specific variables. Automated provisioning of networking, security, compute, and application resources. Networking & Security Designed a Virtual Network with dedicated subnets. Configured Network Security Groups (NSGs) with least-privilege rules. Implemented Private Endpoints to eliminate public exposure of backend services. Integrated Azure Application Gateway (WAF) for secure traffic management, SSL termination, health probes, and Layer-7 routing. Application Hosting Deployed containerized applications to Azure App Service. Connected App Service with Azure Container Registry (ACR) for secure container image deployment. Enabled autoscaling and high availability. Database Layer Provisioned Azure Database for MySQL (Flexible Server) in a private network. Configured secure private connectivity between the application and database. Enabled backup, encryption, and production-ready networking. CI/CD with Azure DevOps Built YAML-based multi-stage pipelines. Automated Terraform validation, plan, and apply. Parameterized deployments for multiple environments (Dev, UAT, Production). Managed secrets securely using Azure Key Vault and variable groups. Implemented approval gates for production deployments. Monitoring & Operations Configured diagnostic settings and monitoring. Enabled centralized logging and alerting. Designed the infrastructure for reliability, scalability, and easier operational support. Business Value ✔ Fully automated infrastructure deployment ✔ Consistent deployments across environments ✔ Reduced manual configuration errors ✔ Secure architecture with private networking ✔ Reusable Terraform modules for future projects ✔ Faster application releases through CI/CD ✔ Production-ready Azure landing zone This project demonstrates expertise in Azure Cloud, Terraform, Infrastructure as Code (IaC), Azure DevOps, CI/CD automation, containerized workloads, networking, security, and production-grade cloud architecture. It reflects the type of enterprise infrastructure I build for organizations seeking secure, scalable, and automated cloud solutions.
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I have developed the CI/CD Pipelines and deployed the Azure infrastructure as you can see the attached picture.
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Terraform
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hemanth reddy
Hyderabad, India
Expert in Cloud Automation & DevOps Solutions
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Expert in Cloud Automation & DevOps Solutions
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terraform-flask-sanity
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hemanthreddy00992/board_game
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Hosted static website on AWS S3
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Praveen Rana
Delhi, India
Experienced Cloud Architect specializing in AWS, Azure, and
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Experienced Cloud Architect specializing in AWS, Azure, and
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End-to-End CI/CD Pipeline and EKS Deployment with Terraform
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Setup Datalake Solution for a bigdata client
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Setup Azure Solutions for Sony India
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