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Real-Time Blockchain Telemetry at Enterprise Scale

Architected mission-critical blockchain telemetry infrastructure processing 100M+ daily events with 99.99% uptime. Established cross-functional data governance framework supporting 4 product teams, enabling real-time analytics and production-ready MLOps capabilities for Web3 gaming at scale.

99.99% Uptime
100M+ Daily Events
4 Product Teams

Mission-Critical Infrastructure for Web3 Gaming

Designed and deployed enterprise-grade blockchain telemetry system handling real-time transaction processing, player behavior analytics, and economy monitoring. Implemented cross-functional data governance framework ensuring consistent schemas, quality standards, and compliance across all product teams while maintaining production MLOps readiness.

Enterprise Behavioral Analytics Platform

Snowplow-based telemetry infrastructure custom-built for Web3 gaming scale. Real-time event collection with blockchain-specific enrichments, handling NFT transactions, wallet interactions, and in-game economies. Schema registry ensuring data quality across 100M+ daily events with automated validation and recovery mechanisms.

Distributed Database Architecture

CockroachDB deployment achieving 99.99% uptime for critical gaming infrastructure. Multi-region active-active configuration handling millions of concurrent players. ACID compliance for blockchain transactions with automatic failover and self-healing capabilities. Zero-downtime scaling during peak gaming events.

Cloud-Native Data Platform

GCP infrastructure orchestrating real-time data flows at massive scale. Dataflow pipelines processing blockchain events with sub-second latency, Pub/Sub messaging ensuring exactly-once delivery, and serverless architectures auto-scaling from thousands to millions of events. Production-ready ML feature engineering for player predictions.

Cross-Functional Data Governance

Enterprise dbt framework with 200+ models supporting 4 product teams. Implemented data contracts, ownership matrices, and quality gates ensuring reliable analytics. Gaming-specific transformations for player lifetime value, economy balancing, and fraud detection. MLOps-ready feature tables for recommendation systems.

Production MLOps Readiness

Kubernetes-orchestrated ML infrastructure supporting real-time inference and batch training. Feature stores integrated with Vertex AI, automated model versioning, and A/B testing frameworks. Docker containers ensuring reproducible environments from development to production. Supports fraud detection, player churn prediction, and dynamic pricing models.

Business Impact

  • 99.99% uptime achievement — exceeding enterprise SLA requirements
  • 100M+ daily events processed with sub-second latency
  • 4 product teams supported through unified data governance framework
  • 30% reduction in player churn through ML-powered interventions
  • Real-time fraud detection preventing $2M+ in losses
  • Production MLOps platform enabling rapid feature experimentation
  • Cross-functional data democratization increasing analytics adoption by 75%