End-to-End GA4
Analytics Pipeline
Scalable, production-grade web analytics pipeline ingesting raw GA4 event data into Databricks via Structured Streaming, with Delta Lake and Medallion Architecture powering real-time BI dashboards.
GA4 Event Ingestion
3 Lakehouse Tiers
∞ Streaming Loads
Delta Lake ACID
01 — Objective
Designed and implemented a scalable, production-grade web analytics
pipeline that ingests raw Google Analytics 4 (GA4) event data into
Databricks using Structured Streaming Pipeline. Leveraged Delta Lake
and Medallion Architecture (Bronze–Silver–Gold) to transform nested
GA4 data into optimized, analytics-ready datasets powering real-time
BI dashboards.
02 — Architecture
System Overview
03 — Lakehouse Architecture
Bronze · Silver · Gold
Bronze
Raw GA4 event ingestion via Structured Streaming, stored as-is in
Delta Lake with ACID transactions & checkpointing
Silver
Nested GA4 schema flattening, schema evolution handling,
late-arriving events, partitioning & Z-Ordering optimisation
Gold
BI-ready KPI datasets powering Power BI dashboards &
integrated with Databricks Genie
04 — Pipeline Highlights
What's Under the Hood
GA4 event ingestion using Structured Streaming Injection
Pipeline
Medallion Architecture implementation — Bronze → Silver →
Gold
Flattening of complex nested GA4 event schema using Databricks
notebooks
Schema evolution & late-arriving event handling for data
reliability
Delta Lake ACID transactions & checkpointing for fault
tolerance
Performance optimisation using partitioning & Z-Ordering
strategies
BI-ready KPI datasets powering real-time Power BI
dashboards
Integration of Silver & Gold layers with Databricks Genie for
AI querying
05 — Software Toolkits
Built With
