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data-engineer

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

Lordjiggy☆ 1 Repository stars1 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

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Skill instructions

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

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-01-26
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

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