I bridge the gap between complex data infrastructure, business analytics, and MarTech ecosystems. With a strong focus on Cloud architectures (Azure/AWS) and the Adobe Ecosystem, I build scalable data pipelines that drive real business value.
Data Engineering & Architecture
Cloud & DevOps
MarTech & Analytics
- 📊 vod-marketing-lab: End-to-end Data Engineering project implementing ELT pipelines with dbt, Python, and Azure SQL, orchestrated via GitHub Actions and Docker.
- ☁️ dtorreshaus: Cloud Infrastructure project demonstrating full-stack deployment on AWS EC2, reverse proxy setup with Nginx, process management with PM2, and Webhook data generation for payment gateways.
- 🤖 azure-ml-jupyter-demo: Machine Learning operations utilizing Azure ML pipelines and Python.
- 🏎️ sim-racing-telemetry: Real-time telemetry platform for sim racing with AI-powered race engineering, dbt lakehouse, and Streamlit dashboards.
I'm probably doing one of these:
🏎️ Sim Racing
I build my own telemetry tools — real-time data pipelines that capture UDP telemetry from racing sims, process it through a dbt lakehouse, and display live dashboards with AI-powered race engineering feedback. Yes, I turned my hobby into a data engineering project. 😄
🃏 Yu-Gi-Oh!
It's time to d-d-d-duel! 🔥 Casual player who enjoys deckbuilding and the occasional locals tournament.
📫 How to reach me: Connect on LinkedIn | ✉️ diegocastellanos551@gmail.com