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