Tabela calendário para lakehouse Fabric a partir do notebook spark

Convert your SSAS Models into Power BI Projects with Python

Open-source PBIP analyzer for Power BI / Fabric. One graph, two readings: PBIP names for the BI developer, source-system names for the data engineer. Click a measure, see every table it really depends on — directly and through active relationships. Read-only static analysis.

Open-source Supply Chain analytics on Microsoft Fabric: a scalable Bronze-Silver-Gold pipeline with automated CSV ingestion, Delta Lake transforms, semantic modeling (DAX & RLS) and interactive Power BI reports. Join to enhance pipelines, refine models, and build next-gen supply-chain insights!

Power BI to Snowflake SQL translator with enhanced M and DAX support

Transformed raw HR data into a star schema using GCP & Cloud SQL, wrote SQL queries for business reporting and analyzed trends like age vs. income, performance, and hiring by gender. Visualized insights in Tableau for data-driven HR decisions. Tools: Google Cloud SQL(Postgres), GCP, Tableau.

End-to-end Medallion Architecture on Microsoft Fabric for tracking the U.S. government’s 2020 critical minerals: automated pipeline ingests raw CSVs into Lakehouse, PySpark builds a star schema, a lake-based semantic model with DAX & RLS delivers curated data, and Power BI dashboards visualize insights. Contributions welcome!

Extract Microsoft Fabric semantic model metadata. AI-ready exports for LangChain, OpenAI, Semantic Kernel, AutoGen, and custom plugins. Multi-provider LLM enrichment, MCP server, and cross-model governance.

Agent Skills toolkit that turns plain-English requests into fully-formed, branded Power BI Desktop Projects (PBIP). Ten composable skills for source-agnostic semantic modeling, visual generation, and theming.

Power BI/Fabric semantic model documentation generator with DAX metadata and data-health profiling

Power BI DAX co-pilot for Claude Code — explain, format, optimise, audit, and edit DAX measures from your terminal

Open semantic reference model and governance framework for traceable, interoperable crop-farming platforms.

Built and hosted a Conversational AI Chatbot on Streamlit, powered by Large Language Models (LLMs). Implemented Cortex LLM & Cortex Analyst for real-time natural language processing (NLP) and optimized vector embeddings for enhanced contextual understanding.

Power BI + Databricks legal BI modernization demo using synthetic data, PBIP, semantic modeling, RLS, DAX, and migration control-tower patterns.

MCP server for Power BI Desktop with Excel, Power Query, semantic model, and visual automation.