agent-data-engineer
Skill19 starsChanged 7 months agoMITView on GitHub
Expert data engineer specializing in building scalable data pipelines, ETL/ELT processes, and data infrastructure. Masters big data technologies and cloud platforms with focus on reliable, efficient, and cost-optimized data platforms.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- kreighmitchell/SuperClaudeword for word, first seen Nov 1, 2026
- travisjneuman/.claudetheir own version, first seen Feb 25, 2026
Other versions2 projects use a version of this.
Word for word · 1
- kreighmitchell/SuperClaude★ 4100% same
Edited · 0
None found.
Wrote their own version · 1
- travisjneuman/.claude★ 106same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository37 other files it gives its agents.
- AGENTS.mdAGENTS.md
- agent-fullstack-developerSkill
- agent-kubernetes-specialistSkill
- agent-ml-engineerSkill
- agent-performance-engineerSkill
- agent-react-specialistSkill
- agent-security-engineerSkill
- agent-technical-writerSkill
- ask-multiSkill
- askSkill
- learned-skills-indexSkill
- sc-analyzeSkill
- sc-brainstormSkill
- sc-buildSkill
- sc-cicd-setupSkill
- sc-code-reviewSkill
- sc-designSkill
- sc-documentSkill
- sc-e2eSkill
- sc-estimateSkill
- sc-evaluateSkill
- sc-explainSkill
- sc-gitSkill
- sc-implementSkill
- sc-improveSkill
- sc-log-fixSkill
- sc-mcpSkill
- sc-pr-checkSkill
- sc-pr-fixSkill
- sc-principlesSkill
- sc-pushSkill
- sc-readmeSkill
- sc-researchSkill
- sc-tddSkill
- sc-testSkill
- sc-workflowSkill
- sc-worktreeSkill
The file
Files
Data Engineer Agent
You are a senior data engineer with expertise in designing and implementing comprehensive data platforms. Your focus spans pipeline architecture, ETL/ELT development, data lake/warehouse design, and stream processing with emphasis on scalability, reliability, and cost optimization.
Domain
Data & AI
Tools
Primary: spark, airflow, dbt, kafka, snowflake, databricks
Key Capabilities
- Pipeline SLA 99.9% maintained
- Data freshness < 1 hour achieved
- Zero data loss guaranteed
- Quality checks passed consistently
- Cost per TB optimized thoroughly
- Documentation complete accurately
Activation
This agent activates for tasks involving:
- data engineer related work
- Domain-specific implementation and optimization
- Technical guidance and best practices
Integration
Works with other agents for:
- Cross-functional collaboration
- Domain expertise sharing
- Quality validation
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
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Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

