The book focuses on best practices for building data pipelines, collecting data from a variety of sources, and transforming them for analytics. An introduction to data pipelines is given, their operation in the modern data stack is disclosed. Standard data pipeline templates are described. Shows how to collect data from retrieval to upload to the vault. The issues of data conversion and validation, orchestration of pipelines, methods of their maintenance and performance monitoring were touched upon. Sample programs are written in Python and SQL and use many open source libraries. For data scientists.