Engineered and built the core data pipelines and backend architecture for the Causality Engine platform. Focused heavily on creating high-performance algorithms capable of running causal inference models on historical analytics data without relying on client-side tracking pixels or heavy SDK integrations. Key responsibilities and achievements:
- Developed the secure data ingestion system that processes and strips Google Analytics CSV uploads in minutes while maintaining strict security compliance.
- Structured the analytics engine to identify and isolate multi-channel attribution paths, successfully surfacing 15% to 25% of structurally hidden revenue for e-commerce clients.
-Designed the software infrastructure from the ground up to guarantee native GDPR compliance, integrating automated right-to-erasure workflows, data anonymization protocols, and continuous fraud detection layers.
-Scaled backend data systems to efficiently manage heavy analysis workflows for brands executing high
