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ziednanaa/README.md

Microsoft Fabric & Azure Banner

👋 Zied Nanaa

Senior Cloud & Data Architect | Data Science | Microsoft Fabric | Data Governance | AI Solutions


🇩🇪 Über mich

Ich bin Cloud- und Datenarchitekt mit Schwerpunkt auf Microsoft Fabric, Data Governance und künstlicher Intelligenz (KI).
Mein Ziel ist es, skalierbare und nachhaltige Datenplattformen zu gestalten, die Governance, Qualität und Automatisierung vereinen.
Ich arbeite an Projekten, die Datenprodukte mit Mehrwert schaffen — technisch fundiert, sicher und KI-gestützt.

🔗 Google AI - Über mich


🇬🇧 About Me

I’m a Cloud & Data Architect specializing in Microsoft Fabric, Data Governance, and AI-driven architectures.

Strategic Technology Leader

20+ years IT Experience in Data Analytics Platforms, Data Strategy, and Business Transformation.

I turn data into competitive advantage.
Drawing on two decades across manufacturing, retail, financial services, and the public sector,
I have designed and scaled modern Azure-centric data ecosystems,
BI platforms (Power BI, Databricks, Snowflake)
that power decisions for thousands of users.

My approach ensures alignment with the Enterprise Architecture
according to regulatory and internal policies.

My mission is to bridge architecture, governance, and intelligence — transforming raw data into trusted insight.

🔗 Google AI - About me


🧠 Technical Focus

  • Microsoft Fabric: Lakehouse, Pipelines, Notebooks, Semantic Models
  • Data Engineering: Delta, Parquet, JSON, SCD2, ETL, ELT, CI/CD (Azure DevOps), DataOps, Data Security, data masking,
  • AI & ML: NLP, Knowledge Graphs, Model Deployment, spaCy, Azure ML
  • Data Governance: Metadata, Quality Rules, Lineage, Fabric Data Activator, GDPR
  • DataVis / Power BI: Advanced data modeling, DAX calculations, interactive report design, integration with Microsoft Fabric, Power BI Data Gateway** setup and management, dashboard automation, performance optimization, and business insights delivery.
  • Automation: PowerShell, REST API Integration, Deployment Frameworks
  • Open Source and Github Repos

📂 Selected Projects

Projekt Beschreibung Technologien
🧩 Fabric Lakehouse Deployment Package CI/CD-Framework für Microsoft Fabric Workspaces (Dev → Prod) mit YAML & PowerShell Fabric, DevOps, Delta
🤖 AI Knowledge Graph Builder Lokaler Baukasten zur semantischen Analyse & Wissensgraph-Erzeugung Python, spaCy, NetworkX
🌐 Data Governance Framework Automatisierte Lineage- und Qualitätsüberwachung für Data Pipelines Fabric, SQL, Python
🔍 API Historization (SCD2) Vollständige Lösung zur Delta-basierten REST-API-Historisierung im Lakehouse Fabric, JSON, Delta

📊 GitHub Statistics

GitHub Stats Top Languages

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🌍 Connect with Me

LinkedIn

GitHub

GitHub.io


“Turning raw data into governed intelligence — through structure, automation, and trust.”
Zied Nanaa


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  1. simple-local-rag simple-local-rag Public

    Forked from mrdbourke/simple-local-rag

    Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.

    Jupyter Notebook