πΌ Data Engineering:
Built end-to-end data pipelines to aggregate streaming analytics and royalty data from various DSPs (Spotify, Apple Music, Amazon Music, YouTube Music, etc), enabling real-time insights for artist performance tracking
Designed and implemented ELT workflows with sophisticated data orchestration to collect, load, and transform music consumption data across multiple digital service providers, supporting data-driven decision making.
π΅ Full-stack Development:
Developed comprehensive music analytics platform integrating streaming data, royalty payments, and audience demographics into intuitive dashboards for artists and industry stakeholders
Built interactive data visualization tools that transform complex music industry metrics into actionable insights, enabling artists to track performance across multiple DSPs and optimize their revenue streams
Engineered end-to-end analytics solutions that streamline music publishing workflows by consolidating financial reporting, audience analysis, and streaming performance data into unified interfaces