Hussein
Maatouk

Consultant on a global Customer Data Platform for a major international retail group, built on Google Cloud. The platform brings customer data from across the group's brands into a single, trusted view for CRM and marketing teams.

• Build and maintain Airflow workflows on Cloud Composer to orchestrate data ingestion, transformation and delivery.
• Develop layered BigQuery transformations with Dataform, turning raw data into clean, business-ready tables.
• Build batch and real-time ingestion pipelines on Google Cloud, using Pub/Sub, Kafka and Dataflow.
• Deploy and maintain data models across development, test and production environments, in line with data residency requirements.
• Support GDPR compliance by handling data subject requests and maintaining privacy and access controls.
• Investigate and resolve production data issues, from root-cause analysis to deployed fixes.
• Collaborate in a multi-vendor team using GitLab CI/CD, merge requests and code reviews.

Apr 2025 — Oct 2025 · 7 mos

• Led migration of Tableau Server content and data sources to Tableau Cloud, using Python and SQL-based scripting.
• Collaborated with stakeholders to gather requirements and translate business needs into scalable BI solutions across multiple client engagements.

Oct 2024 — Mar 2025 · 6 mos

• Architected and deployed Tableau Server environments, delivering interactive dashboards that translated complex datasets into actionable business insights.
• Built and optimized data models in PostgreSQL, designing schema structures that supported high-performance analytical queries for client reporting.
• Developed Python-based automation scripts for data extraction, transformation, and loading, streamlining recurring reporting workflows.

Fairness-aware geospatial data processing.

• Researched and implemented fairness-aware preprocessing techniques for geospatial datasets, addressing bias in location-based machine learning models.
• Leveraged PostGIS and PostgreSQL to store, query, and analyze large-scale spatial datasets, enabling reproducible geospatial experiments.
• Developed Python pipelines for spatial feature engineering, bias detection, and fairness metric evaluation across geographic data distributions.
• Produced academic findings on ethical AI implications in geospatial contexts, contributing novel insights to responsible data science research.