🏡 Property Intelligence Pipeline — Documentation¶
Welcome to the official documentation for the Property Intelligence Pipeline.
This system is a production-grade real estate data extraction, analytics, and prediction pipeline built with resilience, scalability, and observability at its core.
📖 Table of Contents¶
- System Architecture
- Core Components
- Machine Learning Pipeline
- API Reference
- Observability
- Deployment Guide
- Operations & Runbook
- Roadmap
🚀 Why This Project Matters¶
Real estate data is fragmented, inconsistent, and often unstructured.
This pipeline turns that chaos into clean, structured, and actionable intelligence, complete with:
- Automated data ingestion from property sites
- High-quality structured storage (PostgreSQL + ORM)
- Analytics & insights (affordable/expensive listings, trends)
- Predictive intelligence via a trained ML model
- Production-grade observability (Prometheus + Grafana)
- Fully containerized & CI/CD ready
This documentation explains every layer in detail, from scraping to predictions to monitoring.
👤 About the Author¶
This pipeline was designed and engineered by Lewis, a Data Engineer committed to building production-grade, enterprise-ready systems.
The Property Intelligence Pipeline demonstrates expertise across:
- Data Engineering → scalable ingestion, transformation, and storage
- Machine Learning Integration → predictive modeling for property insights
- Observability & Monitoring → metrics, alerting, and enterprise reliability
- Cloud-Native Deployment → AWS-based architecture built for resilience
Lewis’s mission is to design data systems that are scalable, observable, and business-impact driven.
This project is both a portfolio piece and a blueprint for real-world enterprise pipelines.