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Data Engineering & ETL · Module 1 of 10

What is data engineering?

Data engineers build pipelines that deliver clean, reliable data.

📖 Key ideas

  1. Data engineering moves, transforms and stores data for analysis and ML.
  2. ETL: Extract, Transform, Load; ELT: load first, transform in the warehouse.
  3. Outputs feed dashboards, reports and models.
  4. Core skills: SQL, Python, data modelling, cloud, orchestration.
  5. Reliability and data quality are key responsibilities.
💡 Real-life example: Data engineers are plumbers of the data world: they make sure clean water (data) flows to every tap.
ETLExtract, Transform, Load
ELTExtract, Load, then Transform
PipelineAutomated data flow
Data qualityAccuracy and completeness of data