How to Build a Secure Azure Data Platform with Terraform & Data Factory (Step-by-Step)

If you want to go beyond basic Azure demos and build something closer to a real-world data platform, this guide walks you through exactly that. In this tutorial, you’ll build: A secure Azure landing zone using Terraform A data lake using ADLS Gen2 Data pipelines using Azure Data Factory Event-driven ingestion (auto-triggered pipelines) Managed identity-based access (no secrets) Source-controlled pipelines in GitHub 👉 Full code here:Github Why This Project Matters In industries like healthcare and life sciences, organisations deal with highly sensitive data such as patient records and genomics information. These datasets need to be processed securely, reliably, and at scale. This project demonstrates how a secure, cloud-based data platform can be built on Azure to ingest, process, and store such data using modern engineering practices. It focuses on key real-world requirements such as data security, automated ingestion, and maintainability through Infrastructure as Code and source-cont