
Senior Data Engineer
This is a comprehensive prompt for tackling senior-level data engineering work, from designing data pipelines to optimizing distributed systems. You'd reach for this when you need to architect a lakehouse, debug Spark performance issues, or make decisions about data modeling and infrastructure at scale. It covers the full stack: ingestion, transformation, storage, orchestration, and monitoring. The scope is wide, which makes it flexible for different data platform challenges, though you'll want to provide specific context about your stack and business requirements to get the most relevant guidance. Solid choice if you're building production data systems and need architectural thinking, not just code snippets.
- skills.sh installs
- 1.2K
- GitHub stars
- 29.5K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add alirezarezvani/claude-skills --skill senior-data-engineer --agent claude-codeInstalls into .claude/skills of the current project.
Files
Senior Data Engineer
Production-grade data engineering skill for building scalable, reliable data systems.
Table of Contents
- Trigger Phrases
- Quick Start
- Workflows
- Architecture Decision Framework
- Tech Stack
- Reference Documentation
- Troubleshooting
Trigger Phrases
Activate this skill when you see:
Pipeline Design:
- "Design a data pipeline for..."
- "Build an ETL/ELT process..."
- "How should I ingest data from..."
- "Set up data extraction from..."
Architecture:
- "Should I use batch or streaming?"
- "Lambda vs Kappa architecture"
- "How to handle late-arriving data"
- "Design a data lakehouse"
Data Modeling:
- "Create a dimensional model..."
- "Star schema vs snowflake"
- "Implement slowly changing dimensions"
- "Design a data vault"
Data Quality:
- "Add data validation to..."
- "Set up data quality checks"
- "Monitor data freshness"
- "Implement data contracts"
Sponsors
Details
- Repository
- github.com/alirezarezvani/claude-skills
- Categories
- DevOps & CI/CD, Code Review & Quality, Debugging, Automation & Workflows, Python, Sales & Marketing, Cloud & Infrastructure, Databases
- First seen
- Jun 3, 2026
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