Road Map of Project
NYC Transportation Analytics Platform
Capstone Data Engineering & Analytics Project
Executive Summary
This capstone project builds a comprehensive transportation analytics platform using official NYC Taxi and Limousine Commission (TLC) data to analyze transportation patterns, pricing dynamics, and operational efficiency across New York City's diverse transportation ecosystem. The project demonstrates end-to-end data engineering skills, from raw data acquisition to business intelligence delivery.
Project Scope: Design and implement a modern data warehouse solution analyzing 23+ million real transportation records spanning traditional taxis and ride-sharing services, providing actionable insights for urban mobility optimization.
Project Objectives
Primary Goals
- Data Engineering Excellence: Build a scalable, cloud-based data warehouse using modern ELT principles
- Business Intelligence: Deliver comprehensive analytics on NYC transportation patterns and trends
- Technical Proficiency: Demonstrate expertise in cloud data platforms, transformation tools, and visualization
- Real-world Impact: Generate actionable insights for transportation optimization and urban planning
Learning Outcomes
- Master modern data stack technologies (Snowflake, dbt, visualization tools)
- Apply data modeling best practices for analytical workloads
- Implement automated data pipelines and quality monitoring
- Develop business intelligence solutions for complex transportation data