Data and Software Engineer with 17 years of experience in transforming ideas into actionable insights. Expertise in SQL Server Suite, Azure, Amazon AWS, and Warehouse Management solutions, with a proven track record of leading international projects and cross-cultural collaborations. Currently Lead Data Engineer in Digital Search at IKEA. Previously managing a team of data analysts at Booking.com, driving the development of scalable data models and shaping data strategy to enhance partner-facing products. Strong background in user requirements documentation, scalable solution deployment, and robust data pipeline architecture, demonstrating a commitment to continuous growth and excellence.
At IKEA, I work as a Data Engineering Consultant, focusing on improving how online marketing data, particularly organic and paid search from Google, is ingested, modeled, and transformed into actionable insights. I simplify and rationalize the search data model, refine query classification logic, and redesign revenue estimation methods using historical and behavioral data. I integrate search data with internal and external sources, implement automated quality checks and monitoring, and modernize ELT pipelines for scalability, cost efficiency, and stability. My toolkit includes SQL, Python, dbt, and Google Cloud (BigQuery, Cloud Composer, Cloud Storage), with hands-on experience in data modeling for BI & ML, pipeline orchestration, CI/CD, and data quality frameworks. I actively promote data mesh practices, provide documentation and training, and collaborate across teams to ensure search data drives accurate, efficient, and business-critical reporting and analytics.
Data Engineer at IKEA