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Currently building AI automation workflows with n8n and Python and Agentic AI.\n\n---\n\n## 🛠️ Tech Stack\n\n### **AI \u0026 Automation**\n![n8n](https://img.shields.io/badge/n8n-FF6D5A?style=flat\u0026logo=n8n\u0026logoColor=white)\n![Python](https://img.shields.io/badge/Python_Automation-3776AB?style=flat\u0026logo=python\u0026logoColor=white)\n![AI Agents](https://img.shields.io/badge/AI_Agents-FF4B4B?style=flat\u0026logo=openai\u0026logoColor=white)\n![LangChain](https://img.shields.io/badge/LangChain-1C3C3C?style=flat\u0026logo=chainlink\u0026logoColor=white)\n![RAG](https://img.shields.io/badge/RAG_Pipelines-00A67E?style=flat\u0026logo=semantic-web\u0026logoColor=white)\n\n### **Data Engineering \u0026 Architecture**\n![Databricks](https://img.shields.io/badge/Databricks-FF3621?style=flat\u0026logo=databricks\u0026logoColor=white)\n![T-SQL](https://img.shields.io/badge/T--SQL-025E8C?style=flat\u0026logo=microsoft-sql-server\u0026logoColor=white)\n![PySpark](https://img.shields.io/badge/PySpark-E25A1C?style=flat\u0026logo=apache-spark\u0026logoColor=white)\n![Power BI](https://img.shields.io/badge/Power%20BI-F2C811?style=flat\u0026logo=power-bi\u0026logoColor=black)\n\n### **Cloud \u0026 DevOps**\n![Azure](https://img.shields.io/badge/Microsoft%20Azure-0078D4?style=flat\u0026logo=microsoft-azure\u0026logoColor=white)\n![ADF](https://img.shields.io/badge/Azure%20Data%20Factory-0078D4?style=flat\u0026logo=microsoft-azure\u0026logoColor=white)\n![ADLS Gen2](https://img.shields.io/badge/ADLS%20Gen2-0078D4?style=flat\u0026logo=microsoft-azure\u0026logoColor=white)\n![Docker](https://img.shields.io/badge/Docker-2496ED?style=flat\u0026logo=docker\u0026logoColor=white)\n![Git](https://img.shields.io/badge/Git-F05032?style=flat\u0026logo=git\u0026logoColor=white)\n\n---\n\n## Professional Experience\n\n### Freelance AI Automation Projects | *Independent*\n**May 2025 – Present**\n- AI voice sales agent for hardware distributor — inventory lookup + order tracking 24/7 (n8n, Docker)\n- Automated fuel cost optimizer — scrapes 100+ gas stations, delivers top-3 via dashboard (n8n, Python)\n\n### ETL Pipeline Operations — NTT DATA | *Telcel Client*\n**May 2024 – Apr 2025**\n- Operated 150+ ADF pipelines processing 5M+ daily records; ingesting 500-600 .unl files via SFTP into ADLS Gen2 with Get Metadata validation against .verf control files, resolving failures on 24/7 on-call rotation\n- Executed daily reconciliation through Databricks notebooks (SQL + PySpark) on Job clusters, applying MERGE on Delta tables and validating control figures via Azure SQL stored procedures\n- Maintained CI/CD workflow through Azure DevOps Git integration, promoting pipelines across environments via ARM templates with naming conventions.\n\n### Metadata Governance Analyst — NTT DATA | *Citi Banamex Client*\n**Feb 2023 – May 2024**\n- Maintained naming standards across Raw/Staging/Curated layers in ADLS Gen2; used Unity Catalog for lineage tracking, tagging policies, and naming compliance validation\n- Processed metadata change requests via JIRA, running SQL-based validation against DAMA DMBOK conventions; maintained CNBV regulatory documentation in Confluence\n\n### Data Analyst — NTT DATA | *Citi Banamex Client*\n**Feb 2022 – Feb 2023**\n- Analyzed banking financial datasets using SQL/Excel for data reconciliation; built 10+ Power BI dashboards (DAX) for executive reporting\n- Automated monthly validation of 500+ data attributes with Python (OpenPyXL, pyodbc), reducing processing time from 8 hours to 45 minutes\n\n### Industrial Process Analyst — ZF TRW\n**May 2018 – May 2021**\n- Cost-saving machining process optimization (+150 units/hour, 5% cost savings) and built Excel dashboards\n\n---\n\n## Portfolio Projects\n\n### [End-to-End Inventory ETL Pipeline with AI Dashboard](https://github.com/Daniel-jcVv/inventory-autopilot)\n\u003e Automated inventory health pipeline: dead stock detection, overstock alerts, and demand forecasting from raw ERP exports.\n- **Stack:** Python, pandas, SQL Server, Streamlit, n8n Automation\n- **Live demo:** [inventory-autopilot.streamlit.app](https://inventory-autopilot-3mlc5ryu4wsxppx26jvbqe.streamlit.app/)\n\n### [Fleet Data Pipeline and Cost Reporting](https://github.com/Daniel-jcVv/gps-fleet-analytics)\n\u003e ETL pipeline and interactive dashboard for fleet fuel consumption and route analysis.\n- **Stack:** Python, pandas, SQLite, Streamlit\n\n---\n\n## Education\n\n**B.Eng. in Manufacturing Technologies**\nUniversidad Politécnica de Guanajuato, 2015\n\n## Certifications\n\n- **IBM Data Warehousing Engineer** — Coursera, 2024\n- **Google Data Analytics** — Coursera, 2022\n\n## Languages\n\nSpanish: Native | English: Intermediate (B1+, technical reading/writing)\n\n---\n\n\u003cdiv align=\"center\"\u003e\n\n### Soli Deo Gloria\n*Ora et labora*\n\n\u003c/div\u003e","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdaniel-jcvv%2Fdaniel-jcvv","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdaniel-jcvv%2Fdaniel-jcvv","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdaniel-jcvv%2Fdaniel-jcvv/lists"}