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Data Engineering Guidelines

Objective: Define standards for building reliable, scalable, and maintainable data pipelines and transformations, covering pipeline design, dbt, Spark, streaming, and data quality governance.

Source File

View the full rule: .agent/rules/data-engineering.md

Sections

    1. Pipeline Design Principles
    1. dbt (SQL Transformations)
    1. Apache Spark
    1. Streaming (Kafka, Flink, Spark Streaming)
    1. Data Quality & Governance

Released under the MIT License.