Config-Driven GCP Data Platform for Music Streaming
Client: Music streaming platform
A config-driven GCP data platform for music streaming: Airflow DAGs generated from YAML, automated data-quality checks and ClickHouse analytics.
The Challenge
Every new data source needed custom pipeline code, data quality problems were found too late, and creator-facing analytics were too slow.
Our Solution
Built a production GCP platform where Airflow DAGs are generated from YAML, so a new source needs config instead of code. Added a custom data-quality framework and moved Creator Studio analytics to ClickHouse.
Outcomes
New sources onboarded with config, not new code
Sub-second Creator Studio analytics on ClickHouse
Automated data-quality checks before data reaches consumers
Slack alerts on Airflow failures
Technologies
Have a Similar Project?
Tell us about your data or AI challenge and we'll show you how we would approach it.