sakinayawarali/uber-etl-pipeline

This project implements an ETL pipeline for processing Uber trip data from the TLC Trip Record dataset. It transforms raw CSV data into a star schema data warehouse with dimension tables for datetime, passenger count, trip distance, rate codes, locations, and payment types, along with a fact table containing the core trip metrics. The project is designed for data engineers or analysts who need to model and analyze taxi trip patterns, fare structures, and usage trends from NYC TLC data.