We engineer high-fidelity, privacy-compliant server-side event collection fabrics, identity resolution graphs, and central data warehouse pipelines that feed validated customer interaction data directly into your analytical models.
Resilient, High-Fidelity Telemetry & Identity Resolution
Mitigate client-side signal loss by routing conversion events, behavioral interactions, and session telemetry through first-party cloud edge workers and Kafka streams.
Deterministic and probabilistic ID stitching across anonymous web visits, mobile app sessions, and transactional CRM user IDs into a unified, queryable customer graph.
Sync modeled warehouse attribution outputs (PostgreSQL/ClickHouse) back into downstream operational tools with strict schema validation and automated data-freshness SLAs.
Marketing Telemetry Architecture Specifications
| Architecture Layer | Tech Implementation | Throughput / Latency Target | Compliance & Governance |
|---|---|---|---|
| Edge Telemetry Collector | Edge Workers / Go Microservices | Sub-50ms Edge Ingestion | First-Party Cookie Isolation (Caddy/Nginx) |
| Event Streaming Fabric | Apache Kafka / Redis Streams | High-Throughput Partitioning | Strict Protobuf / JSON Schema Assertion |
| Attribution Lakehouse | Distributed PostgreSQL / ClickHouse | Sub-Second Analytical Queries | Automated PII Masking & GDPR/DPDP Purges |
| Data Observability Layer | OpenTelemetry & Metric Probes | Real-Time Freshness Alerts | Automated Anomaly Quarantining |
Connect directly with our data engineers to eliminate browser-side tracking loss and build privacy-safe server-side telemetry pipelines.