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Daniel-jcVv/README.md

Juan Daniel García Belman

🤖 AI Data Automation Engineer | 📊 Data Infrastructure | ⚡ Agentic Workflows

Portfolio LinkedIn Email

Status Experience Location

👨‍💻 About Me

AI Data Automation Engineer with over 4 years of professional experience. I specialize in building autonomous data ecosystems that bridge the gap between traditional Data Engineering and the new era of Agentic AI.

My mission is to help companies reduce operational debt by transforming manual, repetitive processes into scalable, self-evolving solutions using n8n, Python, and AI Agents.

🚀 Automation First: Orchestrating intelligent workflows that act upon data in real-time. 🏗️ Robust Foundations: Expert in Medallion Architecture (Bronze/Silver/Gold) on Databricks. 🛡️ Mission-Critical: Focused on high-density infrastructure monitoring and 24/7 technical operations.

🛠️ Tech Stack

AI & Automation

n8n Python AI Agents LangChain RAG

Data Engineering & Architecture

Databricks SQL & Schema Design Apache Airflow PySpark

Cloud & DevOps

Azure AWS Docker Git

💼 Professional Experience

🚀 AI Automation Specialist | Independent Consultant

📅 April 2025 – Present

  • Autonomous Monitoring: Building n8n ecosystems for real-time infrastructure supervision.
  • Agentic Workflows: Designing AI Agent swarms to bridge hardware status and intelligent incident response.
  • Data Modernization: Consulting on Medallion Architecture implementation for startups and enterprise clients.

🏢 NTT DATA - Data Engineer | Telcel & Citi Banamex

📅 February 2021 – April 2025

  • Enterprise ETL: Managed high-volume data pipelines for the telecommunications and banking sectors.
  • Automation: Developed Python and Shell script solutions for automated metadata validation and monitoring.
  • Scalability: Optimized complex SQL queries and PySpark transformations, reducing processing times by 30%.
  • Governance: Implemented data quality frameworks and lineage standards in multi-cloud environments.

🚀 Featured AI & Data Projects

🏥 Autonomous DataCenter AI Monitor 🧪 Flagship

Mission-critical monitoring using n8n and AI Agents to ensure 24/7 uptime.

  • Impact: Automated anomaly detection and hardware-to-incident response loops.

🏥 AI Agent Healthcare Assistant

Autonomous medical Q&A platform with Agentic RAG retrieval.

  • Tech: LangChain, Vector Databases, Python, OpenAI.

🏗️ Enterprise DW - Medallion Architecture

Production-ready Data Lakehouse with SQL Server and Python.

  • Focus: Scalable architecture for high-performance automation systems.

🎓 Certifications

  • IBM Data Warehousing Engineer Professional Certificate
  • ETL and Data Pipelines with Shell, Airflow, and Kafka (IBM)
  • Java Back-End Developer (Oracle Next Education)
  • Google Data Analytics Professional Certificate

"Data Engineering is the foundation. AI Automation is the future." ⚡

Soli Deo Gloria

Ora et labora, ahora

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  1. pipeline-data-migration-tracker pipeline-data-migration-tracker Public

    Pipeline for migrating data from SFTP server to Microsoft Fabric with SQLite-based file tracking to prevent reprocessing

    Python 1

  2. aws-ai-consultation-apprunner aws-ai-consultation-apprunner Public

    AI-powered medical consultation SaaS (Next.js + FastAPI) deployed on AWS App Runner via ECR and Terraform, with Clerk auth and OpenAI for automated visit summaries.

    TypeScript

  3. DataCenter-AI-Monitor DataCenter-AI-Monitor Public

    AI-powered infrastructure monitoring system for data centers. Combines n8n automation, OpenAI GPT-4 for root cause analysis, and PostgreSQL for incident tracking. Reduces MTTR by 60% through intell…

    Python

  4. insurance-analytics-medallion insurance-analytics-medallion Public

    End-to-end insurance analytics platform using Medallion Architecture (Bronze/Silver/Gold) with Microsoft Fabric, PySpark, and Power BI.

    Jupyter Notebook

  5. modern-datawarehouse-project modern-datawarehouse-project Public

    Enterprise Data Warehouse with Medallion Architecture - SQL Server & Python ETL

    TSQL

  6. rag-healthcare-assistant rag-healthcare-assistant Public

    An intelligent medical Q&A system using Retrieval-Augmented Generation (RAG) with LangChain. Built with Python and Flask.

    Python