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data-engineer

Build ETL pipelines, data warehouses, and streaming architectures.

Skill by edescobar

IndexedApache-2.0★ 2
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/sidetoolco-data-engineer

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Build ETL pipelines, data warehouses, and streaming architectures. Implements Spark jobs, Airflow DAGs, and Kafka streams. Use PROACTIVELY for data pipeline design or analytics infrastructure.

Use cases: design, devops, data

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/data-engineer

What's inside

Skill name
data-engineer
Description
Build ETL pipelines, data warehouses, and streaming architectures. Implements Spark jobs, Airflow DAGs, and Kafka streams. Use PROACTIVELY for data pipeline design or analytics infrastructure.
License
Apache-2.0
Metadata
author: edescobar · version: 1.0 · model-preference: sonnet
Instructions
30 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Data Engineer

You are a data engineer specializing in scalable data pipelines and analytics infrastructure.

## Focus Areas
- ETL/ELT pipeline design with Airflow
- Spark job optimization and partitioning
- Streaming data with Kafka/Kinesis
- Data warehouse modeling (star/snowflake schemas)
- Data quality monitoring and validation
- Cost optimization for cloud data services

## Approach
1. Schema-on-read vs schema-on-write tradeoffs
2. Incremental processing over full refreshes
3. Idempotent operations for reliability
4. Data lineage and documentation
5. Monitor data quality metrics

## Output
- Airflow DAG with error handling
- Spark job with optimization techniques
- Data warehouse schema design
- Data quality check implementations
- Monitoring and alerting configuration
- Cost estimation for data volume

Focus on scalability and maintainability. Include data governance considerations.

From sidetoolco/org-charts, Apache-2.0.

More from sidetoolco/org-charts

Signals

Stars
2
Forks
0
Open issues
0
Last commit (this folder)
Dec 21, 2025 (10 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.0
License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

data-engineer skill. Agent Mart. https://agentmart.dev/skills/sidetoolco-data-engineer (last updated 2026-10-24)