Data Pipeline Modernisation & Analytics Layer

Fave's rapid growth across Malaysia, Singapore, and Indonesia had created a fragile patchwork of ETL pipelines and ad-hoc analytics processes. The data team needed a modern, reliable foundation to power merchant intelligence, campaign performance, and customer behaviour analytics.

• Audited and mapped all existing data sources, pipelines, and downstream consumers
• Designed a modern data stack with event streaming, dbt transformations, and a centralised warehouse
• Rebuilt critical ETL pipelines as reliable, observable, and self-healing workflows
• Implemented a merchant analytics layer enabling real-time performance monitoring
• Delivered a customer behaviour modelling framework powering personalisation and campaign targeting

• 10× improvement in pipeline reliability (SLA 99.9%)
• Real-time merchant dashboards replacing next-day batch reports
• Customer segmentation models powering campaign personalisation
• Data team velocity increased 4× post-modernisation
• Infrastructure foundation for Fave's Series B analytics expansion