microsoft-fabric-lakehouse

From Power BI to Microsoft Fabric 🤔 Introducing Power BI Adoption Framework 🌱

A Python package for Azure Datalake Storage adlsgen2 [abfss://] and Microsoft Fabric Lakehouse [abfss://], Google Cloud Storage [gs://bucket], AWS S3 bucket [s3://bucket] enables format detection and schema retrieval for Iceberg, Delta, and Parquet formats. It helps identify partitioned columns for parquet datasets. It also supports querying Delta,

Microsoft Fabric Data Engineering Portfolio — DP-700 certification preparation. PySpark · Delta Lake · KQL · Azure Data Studio

End-to-end data engineering pipeline on Microsoft Fabric — ingests smart meter readings and weather data, cleans and validates through a medallion architecture (Bronze → Silver → Gold), and serves a star-schema Power BI report. Includes incremental loading, daily orchestration, and Dev → Prod deployment.

End-to-End Microsoft Fabric Analytics Platform implementing Medallion Architecture, Lakehouse, Warehouse, Semantic Modeling, and Executive KPI Reporting using Power BI.

End-to-end Microsoft Fabric data engineering project using NYC Citi Bike public trip data. Covers Dataflow Gen2 ingestion, a Warehouse-based Gold star schema (stored procedures, MERGE, functions), a Direct Lake semantic model with advanced DAX, a Power BI dashboard, and full Dev→Prod CI/CD via Git integration and Deployment Pipelines.

End-to-end COVID-19 analytics pipeline on Microsoft Fabric — medallion architecture (bronze/silver/gold), star schema, Direct Lake semantic model with DAX, calculation groups, and field parameters, built on Google's COVID-19 Open Data.

End-to-end E-commerce Supply Chain Analytics platform built using Microsoft Fabric, dbt, ML, and Power BI. Implements Bronze-Silver-Gold data modeling, customer segmentation, risk analysis, and decision-driven dashboards for business intelligence.