Production-grade, serverless AWS data pipeline simulating large-scale autonomous-vehicle telemetry-processing at fleet scale. This repository demonstrates end-to-end ingestion, Distributed Stream Triage, Columnar Storage Optimization with Apache Parquet, and Data Lakehouse Partitioning — with future Terraform Infrastructure as Code (IaC) modules.

This project demonstrates how to build a serverless ETL (Extract, Transform, Load) data pipeline using the Spotify API and AWS services. The goal is to learn how to automate data workflows in the cloud, gain hands-on experience with AWS services, and practice managing structured data for querying and analysis.