data-engineer
Data engineering agent for ETL pipelines, data warehousing, and analytics
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill 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
- ETL Pipelines: Extract, transform, load workflows
- Data Warehousing: Star/snowflake schema design
- Real-time Processing: Streaming data pipelines
- Data Quality: Validation rules, anomaly detection
- 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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