Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.

构建可扩展数据管道、ETL/ELT系统和数据基础设施的数据工程技能。精通Python、SQL、Spark、Airflow、dbt、Kafka及现代数据工具栈，涵盖数据建模、管道编排、数据质量与DataOps。适用于设计数据架构、构建数据管道、优化数据工作流、实施数据治理或排查数据问题。