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Fab0705/README.md

Hello there 🤓

I'm Fabian, a Backend Engineer passionate about designing scalable and reliable software.

I specialize in building backend systems with .NET, applying Clean Architecture, DDD, and cloud-native principles to create production-ready applications.

Right now I'm working on enterprise systems, improving my Azure skills, and continuously learning software architecture.

Everything in this profile reflects how I approach real-world software engineering.

Tools & Tech

  • C#, ASP.NET Core
  • Entity Framework Core
  • SQL Server • PostgreSQL
  • Clean Architecture • VSA • Modular Monolith • DDD • CQRS
  • Azure • Docker • GitHub Actions
  • React • Next.js

A Bit About Me

  • 🏗️ Passionate about enterprise software
  • 📚 Always learning software architecture and cloud technologies
  • 💡 I enjoy turning complex business requirements into scalable backend solutions

Pinned Loading

  1. PIMS-MS PIMS-MS Public

    Complete refactoring of IderkaInventorySystem_API. Redesigned in . NET 10 under a Modular Monolith and Vertical Slice Architecture (VSA) architecture to ensure maximum robustness, scalability and m…

    C# 1

  2. SubscriptionManagement-PaymentsAPI SubscriptionManagement-PaymentsAPI Public

    Robust RESTful API in .NET with Clean Architecture for SaaS subscription management and native integration with Stripe.

    C# 1

  3. ecommerce-lakehouse ecommerce-lakehouse Public

    Plataforma analítica para E-commerce. Procesamiento ETL escalable con Databricks, PySpark y Delta Lake bajo arquitectura Medallion, conectado a un modelo dimensional visualizado en Power BI.

    Jupyter Notebook

  4. fintech-customer-churn fintech-customer-churn Public

    End-to-end customer chrun analytics project using Python, PySpark, and Power BI. Features data cleaning, ETL automation, data quality validation, churn analysis, customer risk segmentation, and an …

    Python

  5. SLF-Analytics-Dashboard SLF-Analytics-Dashboard Public

    Pipeline ETL automatizado en Python (Pandas) y Dashboard Ejecutivo en Tableau para el análisis de embudos de ventas, conversión de leads y Speed-to-Dial.

    Python

  6. Ai-Inventory-extractor Ai-Inventory-extractor Public

    Worker impulsado por IA Multimodal que automatiza la extracción estructurada de comprobantes logísticos y sincroniza el stock directamente hacia la base de datos.

    Python