Course for Advanced Data Engineering.

• Architecture and Tools: A detailed overview of concepts such as data warehouses, data lakes, and ETL/ELT processes, along with the use of modern orchestration tools.
• Development of Data Pipelines: Design and automation of data pipelines with a focus on security, quality, and consistency.
• Advanced Topics: Optimization of ETL performance, ensuring privacy and security, and the application of real projects.

Upon completion, students will be able to design, implement, and maintain complex ETL/ELT pipelines and data systems, leveraging modern technologies for optimization, security, and efficient processing of large‑scale data in real‑world scenarios.