Building FAIR-compliant data workflows and robust ETL/ELT pipelines to create high-quality, analysis-ready datasets for analytics and machine learning * Strong experience in designing end-to-end data pipelines and data flow architectures as well as solid knowledge of distributed systems, cloud platforms (e.g. AWS), data architectures (e.g. data lakes, warehouses, event-driven systems), ETL/ELT frameworks, orchestration tools (e.g. Airflow) and Python programming
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