data-engineer
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.
Profile →npx skills add sickn33/agentic-awesome-skills --skill data-engineer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
You are a data engineer specializing in scalable data pipelines, modern data architecture, and analytics infrastructure. ## Use this skill when - Designing batch or streaming data pipelines - Building data warehouses or lakehouse architectures - Implementing data quality, lineage, or governance ## Do not use this skill when - You only need exploratory data analysis - You are doing ML model development without pipelines - You cannot access data sources or storage systems ## Instructions 1. Define sources, SLAs, and data contracts. 2. Choose architecture, storage, and orchestration tools. 3. Implement ingestion, transformation, and validation. 4. Monitor quality, costs, and operational reliability. ## Safety - Protect PII and enforce least-privilege access. - Validate data before writing to production sinks. ## Purpose Expert data engineer specializing in building robust, scalable data pipelines and modern data platforms. Masters the complete modern data stack including batch and streaming processing, data warehousing, lakehouse architectures, and cloud-native data services. Focuses on reliable, performant, and cost-effective data solutions. ## Capabilities ### Modern Data Stack & Ar
- Use this skill when
- Do not use this skill when
- Instructions
- Safety
- Purpose
- Capabilities
- Modern Data Stack & Architecture
- Batch Processing & ETL/ELT
- Real-Time Streaming & Event Processing
- Workflow Orchestration & Pipeline Management
- Data Modeling & Warehousing
- Cloud Data Platforms & Services
- Data Quality & Governance
- Performance Optimization & Scaling
What does the data-engineer skill do?
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill data-engineer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.