Build and optimize robust data pipelines for extracting, transforming, and loading (ETL) data from multiple sources into a central data warehouse or data lake.
Integrate data from multiple heterogeneous sources, ensuring data quality, consistency, and availability.
Monitor the performance of data systems, identify bottlenecks, and resolve issues related to data quality or processing failures.