https://github.com/daniel-jcvv/daniel-jcvv
👨💻 Data Engineer | 3+ years enterprise experience with Telcel & Citi Banamex Develop ETL pipelines, data governance, and cloud solutions. Building scalable data architectures and automated workflows for Fortune 500 clients. Tech Stack: Python, SQL Server, Oracle, Apache Airflow, PySpark
https://github.com/daniel-jcvv/daniel-jcvv
agentic-ai apache-airflow apache-kafka apache-spark automation business-intelligence citi-bank-apis data-analysis data-engineering data-lake data-warehouse etl-pipeline medallion-architecture mlops n8n-workflow python rag sql-server
Last synced: 2 months ago
JSON representation
👨💻 Data Engineer | 3+ years enterprise experience with Telcel & Citi Banamex Develop ETL pipelines, data governance, and cloud solutions. Building scalable data architectures and automated workflows for Fortune 500 clients. Tech Stack: Python, SQL Server, Oracle, Apache Airflow, PySpark
- Host: GitHub
- URL: https://github.com/daniel-jcvv/daniel-jcvv
- Owner: Daniel-jcVv
- Created: 2025-08-25T18:37:46.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-10-22T22:38:24.000Z (8 months ago)
- Last Synced: 2025-10-23T00:24:19.656Z (8 months ago)
- Topics: agentic-ai, apache-airflow, apache-kafka, apache-spark, automation, business-intelligence, citi-bank-apis, data-analysis, data-engineering, data-lake, data-warehouse, etl-pipeline, medallion-architecture, mlops, n8n-workflow, python, rag, sql-server
- Homepage: https://portfolio-web-fawn-two.vercel.app
- Size: 35.2 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Juan Daniel García Belman
## 🤖 AI Data Automation Engineer | 📊 Data Infrastructure | ⚡ Agentic Workflows
[](https://danieljcvv-portfolio.vercel.app)
[](https://www.linkedin.com/in/juan-daniel-garcia-belman-99a298aa)
[](mailto:danielgb331@outlook.com)
---
## 👨💻 About Me
**AI Data Automation and Data Engineer** with over 4 years of professional experience supporting Fortune 500 clients (Telcel, Citi Banamex).
Hands-on in pipeline operations, multi-environment deployment, data reconciliation, and metadata governance. Currently building AI automation workflows with n8n and Python and Agentic AI.
---
## 🛠️ Tech Stack
### **AI & Automation**
### **Data Engineering & Architecture**
### **Cloud & DevOps**
---
## Professional Experience
### Freelance AI Automation Projects | *Independent*
**May 2025 – Present**
- AI voice sales agent for hardware distributor — inventory lookup + order tracking 24/7 (n8n, Docker)
- Automated fuel cost optimizer — scrapes 100+ gas stations, delivers top-3 via dashboard (n8n, Python)
### ETL Pipeline Operations — NTT DATA | *Telcel Client*
**May 2024 – Apr 2025**
- 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
- 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
- Maintained CI/CD workflow through Azure DevOps Git integration, promoting pipelines across environments via ARM templates with naming conventions.
### Metadata Governance Analyst — NTT DATA | *Citi Banamex Client*
**Feb 2023 – May 2024**
- Maintained naming standards across Raw/Staging/Curated layers in ADLS Gen2; used Unity Catalog for lineage tracking, tagging policies, and naming compliance validation
- Processed metadata change requests via JIRA, running SQL-based validation against DAMA DMBOK conventions; maintained CNBV regulatory documentation in Confluence
### Data Analyst — NTT DATA | *Citi Banamex Client*
**Feb 2022 – Feb 2023**
- Analyzed banking financial datasets using SQL/Excel for data reconciliation; built 10+ Power BI dashboards (DAX) for executive reporting
- Automated monthly validation of 500+ data attributes with Python (OpenPyXL, pyodbc), reducing processing time from 8 hours to 45 minutes
### Industrial Process Analyst — ZF TRW
**May 2018 – May 2021**
- Cost-saving machining process optimization (+150 units/hour, 5% cost savings) and built Excel dashboards
---
## Portfolio Projects
### [End-to-End Inventory ETL Pipeline with AI Dashboard](https://github.com/Daniel-jcVv/inventory-autopilot)
> Automated inventory health pipeline: dead stock detection, overstock alerts, and demand forecasting from raw ERP exports.
- **Stack:** Python, pandas, SQL Server, Streamlit, n8n Automation
- **Live demo:** [inventory-autopilot.streamlit.app](https://inventory-autopilot-3mlc5ryu4wsxppx26jvbqe.streamlit.app/)
### [Fleet Data Pipeline and Cost Reporting](https://github.com/Daniel-jcVv/gps-fleet-analytics)
> ETL pipeline and interactive dashboard for fleet fuel consumption and route analysis.
- **Stack:** Python, pandas, SQLite, Streamlit
---
## Education
**B.Eng. in Manufacturing Technologies**
Universidad Politécnica de Guanajuato, 2015
## Certifications
- **IBM Data Warehousing Engineer** — Coursera, 2024
- **Google Data Analytics** — Coursera, 2022
## Languages
Spanish: Native | English: Intermediate (B1+, technical reading/writing)
---
### Soli Deo Gloria
*Ora et labora*