Enterprise Marketing Team

End-to-End Marketing ETL Pipelines

Scaling marketing analytics through automated ETL pipelines and data modeling in BigQuery
ETLBigQueryMulti-ChannelAttribution
+15%
Budget Optimization
4+
Channels Unified
Automated
Reporting

Background

Marketing data lived in silos across Meta, Google, LinkedIn, and TikTok with no way to compare performance across channels.

The challenge

Leadership couldn't answer basic questions about which channels delivered the highest returning customer value.

What I built

  • Multi-platform ETL pipelines with daily refreshes
  • Normalized cost and conversion metrics across all channels
  • Customer value attribution models
  • Executive dashboards with cross-channel comparisons

The outcome

For the first time, leadership could compare campaign performance across platforms using normalized metrics — enabling a 15 percent budget increase toward channels with highest returning customer value.

Budget conversations shifted from opinion-based debates to data-driven decisions.

Have a similar problem?

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