Snowplow Analytics
Enterprise behavioral analytics implementation for Fortune 500 companies across multi-cloud environments. Built GDPR-compliant tracking systems, custom enrichment APIs, and real-time streaming architectures processing 100M+ events daily with sub-second latency and enterprise-grade reliability.
Architected and deployed behavioral analytics solutions for Fortune 500 enterprises requiring regulatory compliance, multi-cloud flexibility, and massive scale. Implemented custom enrichment APIs, GDPR-compliant tracking designs, and real-time streaming architectures that form the backbone of customer intelligence systems.
Full-stack Snowplow deployment with custom collectors, enrichers, and loaders optimized for Fortune 500 scale. Schema registries ensuring data quality, custom JavaScript and API enrichments for business context, and privacy-by-design architecture meeting GDPR, CCPA, and SOC 2 compliance requirements.
Cloud-agnostic architectures deployed across AWS Kinesis, Azure Event Hubs, and GCP Pub/Sub. Implemented unified data models working seamlessly across clouds, enabling Fortune 500 clients to maintain data sovereignty while achieving global scale. Cross-region replication and failover ensuring 99.99% availability.
Privacy-first architecture with consent management, data minimization, and right-to-erasure workflows. Implemented PII tokenization, automated data retention policies, and audit trails meeting stringent regulatory requirements. Custom privacy contexts ensuring compliance across multiple jurisdictions.
Built proprietary enrichment services adding business context to behavioral events in real-time. IP-to-company matching for B2B analytics, product catalog lookups, user segmentation APIs, and ML-based intent scoring. Processing millions of enrichments per hour with sub-10ms latency.
Comprehensive governance framework with JSON Schema registries, data contracts, and quality monitoring. Terraform-based infrastructure as code enabling reproducible deployments across environments. Automated testing pipelines validating schemas, transformations, and compliance rules before production.