Unified customer data platform with Neo4j graph analytics for entity resolution, built on Snowflake with dbt ELT pipelines and Unity Catalog governance.
Designed a comprehensive Snowflake data platform integrated with Neo4j for advanced entity resolution across multiple customer touchpoints. Built dbt ELT pipelines orchestrating data from 20+ sources with Unity Catalog governance for metadata management and lineage tracking. Enabled personalized marketing campaigns increasing customer lifetime value by 30%.
Implemented sophisticated entity resolution using Neo4j graph database to create unified customer profiles across multiple channels and identifiers. The graph-based approach links customers through email addresses, phone numbers, devices, and IP addresses, providing a complete 360-degree view of customer interactions and relationships.
Designed Snowflake data warehouse using Kimball dimensional modeling optimized for analytical queries. Implemented clustering keys and materialized views for performance optimization, reducing query times by 60% and warehouse costs by 30%. The warehouse serves as the central repository for all customer data and analytics.
Built modular dbt models for data transformation with comprehensive testing and documentation. Orchestrated with Airflow for scheduled execution managing dependencies across 20+ data sources. Implemented CI/CD workflows automating dbt model testing and deployment, reducing release cycles from weeks to days.
Neo4j entity resolution creating unified customer profiles across multiple touchpoints.
Unity Catalog ensuring metadata management and lineage tracking across the platform.
dbt and Airflow orchestrating data from 20+ sources into curated data models.
ML-powered segmentation feeding personalized marketing campaigns.
The Customer 360 platform enabled personalized marketing campaigns increasing customer lifetime value by 30% and conversion rates by 25%. Successfully unified data across multiple channels providing marketing teams with actionable insights. Reduced data warehouse costs by 30% through optimization while improving query performance by 60%. The platform now serves as the single source of truth for all customer analytics and reporting.