Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platf
所属插件包:data-engineering
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Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Antigravity, and Pi
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Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platf
所属插件包:data-engineering
Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems. Masters REST/GraphQL/gRPC APIs, event-driven
所属插件包:data-engineering
Build features guided by data insights, A/B testing, and continuous measurement
所属插件包:data-engineering
Design and implement batch and streaming data pipelines with ingestion, orchestration, dbt transformations, data quality checks, and monitoring
所属插件包:data-engineering
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workfl
所属插件包:data-engineering
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rule
所属插件包:data-engineering
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data trans
所属插件包:data-engineering
Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or sc
所属插件包:data-engineering