Making global analytics more reliable and efficient

The work

On the same global beauty engagement, I lead a team working across analytics and the data platform. The analytics estate covers 15+ brands and roughly 300 brand-region sites, so a data issue can affect many stakeholders at once.

I guided the team through critical GA4 fixes and built a cross-brand channel attribution dashboard in Looker when existing views were retired. I also analyzed a disputed GA4 versus customer data platform measurement question and presented the findings to technical and business leaders.

On the platform side, I tuned Airflow workloads, supported Databricks-on-Google-Cloud benchmarking, and helped improve delivery practices.

The result

The team restored dependable analytics reporting, gave stakeholders a clearer cross-brand view of channels, and reduced BigQuery slot hours and cost by more than 20%.

Tools: Python, SQL, GA4, Looker, Airflow, BigQuery, Databricks, Google Cloud