🎵 Spotify SQL Analysis - SQL Project

Project 10: Spotify SQL Analysis

Technology: SQL, Relational Schema Design, Performance Tuning, Analytical Querying

From the first beat to the final chord, every stream tells a story—of rising artists, emerging genres, and listener passions across the globe. Enter my Spotify SQL Analysis: a powerhouse backend that transforms millions of play events into recruiter-ready insights.

I designed and optimized a relational database to capture Users, Tracks, Artists, Genres, and Listening Sessions. Key implementations included:

• 🔗 Normalized 3NF schema for data integrity
• 🚀 Indexed joins on artist_id & genre for sub-50ms query performance
• 📈 Analytical queries to identify top artists, seasonal trends & user segments
• 📊 SQL views powering a demo Power BI dashboard for visual storytelling

This project is not just queries—it’s a strategic toolkit for music platforms to tune into audience behavior and scale growth. Ready to dive into the data?