- Design, build, and maintain dimensional data models in Redshift as the single source of truth.
- Own the end-to-end data transformation layer using dbt to create staging, intermediate, and mart layers.
- Leverage AI coding tools to accelerate model development, test generation, and data pattern exploration.
- Define and enforce data quality standards, testing frameworks, and documentation.
- Translate business requirements from product, finance, and operations into reliable data models.
- Optimize queries, models, and pipelines for performance and scalability.
- Build clean, well-structured datasets to support data science and AI/ML initiatives.