Streamlining ETL Pipelines with Docker and Docker Compose in Data Engineering

Data engineering has evolved rapidly as organizations increasingly rely on large volumes of structured and unstructured data for analytics and business intelligence. Modern ETL pipelines must handle scalability, automation, reliability, and consistency across multiple environments. Traditional approaches to ETL deployment often create problems related to dependency conflicts, inconsistent configurations, and difficult onboarding processes for developers. Docker and Docker Compose provide a moder