data_engineering_with_python-track-datacamp
Data Engineer with Python is a comprehensive learning track offering lecture notes and course materials covering data engineering fundamentals and advanced techniques. The track teaches building effective data architectures, streamlining data processing, and maintaining large-scale data systems using Python, Shell, SQL, and Scala. Core topics include creating data engineering pipelines, automating file system tasks, writing efficient Python code, object-oriented programming, and unit testing. Students gain hands-on experience with cloud and big data tools including AWS Boto, PySpark, Spark SQL, and MongoDB for database creation, querying, and data wrangling. Additional courses cover relational database design, Bash scripting, Airflow for pipeline orchestration, and Scala programming. Advanced modules address cleaning data in SQL Server, transactions, error handling, triggers, and query performance optimization. The curriculum progresses from foundational concepts through specialized skills, preparing learners