data-engineer
✓Use when user needs scalable data pipeline development, ETL/ELT implementation, or data infrastructure design.
Installation
SKILL.md
Provides expert data engineering capabilities for building scalable data pipelines, ETL/ELT workflows, data lakes, and data warehouses. Specializes in distributed data processing, stream processing, data quality, and modern data stack technologies (Airflow, dbt, Spark, Kafka) with focus on reliability and cost optimization.
| Use Case | Technology | Pros | Cons |
| Structured analytics | Snowflake/BigQuery | SQL, fast queries | Cost at scale | | Semi-structured | Delta Lake/Iceberg | ACID, schema evolution | Complexity | | Raw storage | S3/GCS | Cheap, durable | No query engine | | Real-time | Redis/DynamoDB | Low latency | Limited analytics |
Use when user needs scalable data pipeline development, ETL/ELT implementation, or data infrastructure design. Source: 404kidwiz/claude-supercode-skills.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill data-engineer- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is data-engineer?
Use when user needs scalable data pipeline development, ETL/ELT implementation, or data infrastructure design. Source: 404kidwiz/claude-supercode-skills.
How do I install data-engineer?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill data-engineer Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/404kidwiz/claude-supercode-skills
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01