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In this video, we build a complete end-to-end cloud migration pipeline on Microsoft Azure using real enterprise architecture and best practices. We start with legacy flat files on local system, stage them in Azure Blob Storage using AzCopy with checksum validation, and then automatically load the data into Azure SQL Database using Azure Data Factory pipelines — all secured using Managed Identity and RBAC, without storing any passwords. All infrastructure is provisioned using Terraform (Infrastructure as Code), making this solution repeatable and production-ready. This architecture is commonly used in enterprise migration programs, especially in banking and regulated industries. ✅ What you will learn Overall cloud migration architecture design How Terraform is used to provision Azure resources Secure authentication using Managed Identity Uploading data using AzCopy with checksum Building Azure Data Factory pipelines Event-based automated data ingestion 🧱 Architecture Overview Local Files → AzCopy → Azure Blob Storage (Staging) → Azure Data Factory Pipeline → Azure SQL Database Security: Azure Entra ID Managed Identity + RBAC Provisioning: Terraform 🧰 Technologies Used Terraform Azure Blob Storage Azure SQL Database Azure Data Factory AzCopy Managed Identity (Azure Entra ID) 📺 Who is this video for? Legacy / Mainframe developers moving to cloud Cloud beginners learning real-world Azure architecture Data engineers interested in migration pipelines #Azure #CloudMigration #AzureDataFactory #Terraform #AzCopy #LegacyToCloud #DataEngineering