Building a modern data warehouse with Microsoft SQL Server, including ETL processes with Bronze Layer, Silver Layer and the Gold Layer, data modeling and as well as analytics.
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Updated
Dec 3, 2025 - TSQL
Building a modern data warehouse with Microsoft SQL Server, including ETL processes with Bronze Layer, Silver Layer and the Gold Layer, data modeling and as well as analytics.
GitOps-driven Azure Data Factory pipeline that ingests multi-source data (GitHub + ADLS) into ADLS Bronze using dynamic, parameterized ETL workflows.
Builded end-end DE project using ADF and Databricks
A hands-on data warehouse project using SQL Server, covering ETL processes, and data modeling.
This repository contains an Azure Data Factory (ADF) pipeline designed to dynamically ingest data from Azure SQL Database into a Bronze Layer (Azure Data Lake Storage). The pipeline is optimized for incremental processing, backfilling, and efficient file management.
📊 Build a robust data warehouse and analytics solution to transform raw data into actionable insights using industry best practices.
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