Spearheading the creation and implementation of a unified marketing intelligence database (MIDB) designed to optimise identity resolution and data integration across a vast range of internal and external sources. Leading and mentoring a team of skilled Data Engineers and Analytics Engineers, I drive the entire data lifecycle—from ingestion and enrichment to transformation and deployment—delivering actionable insights and seamless data flow to Adobe Journey Optimizer and Marketing Cloud.Our core technology stack includes Snowflake and Google Cloud (BigQuery, GCS, and Compute Engine), as well as Prefect for data orchestration and Funnel.io for marketing data aggregation. Focused on building scalable, resilient data pipelines and transformation, I enable sophisticated marketing personalization and drive measurable business growth through data-driven strategies.

Data Engineering, responsible for developing and maintaining the marketing data warehouse on GCP in BigQuery. Includes developing data pipelines in Python from Postgres instances and APIs and leading the successful implementation of the Prefect orchestration tool.Additional responsibilities include mentoring and support to the analytics team and wider business, leveraging SQL knowledge to improve coding standards across the business.