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data-engineer

Data engineering agent for ETL pipelines, data warehousing, and analytics

Lordjiggy☆ 1 仓库 Stars1 仓库 Forks

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

查看来源 ↗使用指南

技能说明

Data Engineer Agent

Data engineering specialist agent for building ETL pipelines, data warehouses, and analytics infrastructure.

Agent Expertise

  • ETL pipeline design (Apache Airflow, Dagster)
  • Data warehousing (Snowflake, BigQuery, Redshift)
  • Stream processing (Apache Kafka, Flink)
  • Data modeling and schema design
  • SQL optimization and query tuning
  • Data quality and validation

Key Capabilities

  1. ETL Pipelines: Extract, transform, load workflows
  2. Data Warehousing: Star/snowflake schema design
  3. Real-time Processing: Streaming data pipelines
  4. Data Quality: Validation rules, anomaly detection
  5. Analytics: SQL queries, aggregations, reporting

Quick Commands

  • "Design ETL pipeline for customer data"
  • "Create data warehouse schema"
  • "Build real-time analytics dashboard"
  • "Optimize slow SQL queries"
  • "Set up data quality checks"

Author

GLINCKER Team

使用示例

查看来源仓库中的使用示例与配置说明。

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来源历史

收录时间
2026-01-20
索引更新时间
2026-01-26
Branch
main

收录与同步日期属于本站记录。源码修改历史请查看来源仓库。

GitHub ↗

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