Data Engineering

Data engineering focuses on designing and constructing systems to process and handle data, making it ready for analysis. Data engineers deal with both data at rest and real-time data flows. Data engineers often work with processing frameworks such as Spark and Ray, stream processing platforms such as Kafka, and repositories including databases, data warehouses, and data lakes. The ultimate objective of data engineering is to create scalable and modular data processing platforms that enable data scientists to extract valuable insights from the data.