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Data Engineering

Data Engineering: Building Robust Data Pipelines

Design and implement data pipelines. ETL processes, data warehousing, and modern data stack.

Rottawhite Team15 min readFebruary 13, 2025
Data EngineeringETLData Pipelines

Data Engineering Fundamentals

Move, transform, and store data at scale.

Data Pipeline Types

ETL

  • Extract, Transform, Load
  • Traditional approach
  • Schema-on-write

    • ELT

  • Extract, Load, Transform
  • Modern approach
  • Schema-on-read

    • Tools

    Orchestration

  • Airflow
  • Prefect
  • Dagster

    • Processing

  • Spark
  • dbt
  • Flink

    • Storage

  • Data warehouses
  • Data lakes
  • Lakehouses

    • Best Practices

  • Idempotent operations
  • Data quality checks
  • Monitoring and alerting
  • Documentation
  • Version control

    • Conclusion

    Robust data pipelines are the foundation of data-driven organizations.

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