data-pipelines
This plugin provides expert guidance and code patterns for building batch and streaming ML data pipelines using Apache Beam, Spark, dbt, and orchestration frameworks like Airflow, Prefect, and Dagster. It covers pipeline design, transformation implementation, data validation with Great Expectations, orchestration, and backfill strategies to ensure point-in-time correct features and idempotent execution.
Install
Source: https://github.com/HermeticOrmus/LibreMLOps-Claude-Code/tree/HEAD/plugins/data-pipelines
What it's made of
1 command · 1 agent · 1 skill
- Commands
- 1
- Agents
- 1
- Skills
- 1
- MCP servers
- 0
- Hooks
- 0
What it needs & plugs into
- API keys
- none
- Paid services
- none detected
- External tools
- none
- Talks to
- nothing external detected
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