Building and optimizing data pipelines, warehouses, and ETL/ELT workflows.
Bridging data engineering and analytics, focused on transforming data for BI and data science use cases.
Managing the architectures and tools that underpin modern data ecosystems (from cloud platforms to on-premise Hadoop/Spark clusters).
Anyone deeply involved in data projects (from architects to advanced analysts) seeking serious, up-to-date knowledge on modern data engineering practices.
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