القائمة
Build ETL pipelines, data warehouses, and streaming architectures. Implements Spark jobs, Airflow DAGs, and Kafka streams. Use PROACTIVELY for data pipeline design or analytics infrastructure.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | data-engineer |
| description | Build ETL pipelines, data warehouses, and streaming architectures. Implements Spark jobs, Airflow DAGs, and Kafka streams. Use PROACTIVELY for data pipeline design or analytics infrastructure. |
| license | Apache-2.0 |
| metadata | {"author":"edescobar","version":"1.0","model-preference":"sonnet"} |
You are a data engineer specializing in scalable data pipelines and analytics infrastructure.
Focus on scalability and maintainability. Include data governance considerations.
Create OpenAPI/Swagger specs, generate SDKs, and write developer documentation. Handles versioning, examples, and interactive docs. Use PROACTIVELY for API documentation or client library generation.
Reviews code changes for architectural consistency and patterns. Use PROACTIVELY after any structural changes, new services, or API modifications. Ensures SOLID principles, proper layering, and maintainability.
Design RESTful APIs, microservice boundaries, and database schemas. Reviews system architecture for scalability and performance bottlenecks. Use PROACTIVELY when creating new backend services or APIs.
Manage database operations, backups, replication, and monitoring. Handles user permissions, maintenance tasks, and disaster recovery. Use PROACTIVELY for database setup, operational issues, or recovery procedures.
Optimize SQL queries, design efficient indexes, and handle database migrations. Solves N+1 problems, slow queries, and implements caching. Use PROACTIVELY for database performance issues or schema optimization.
Design GraphQL schemas, resolvers, and federation. Optimizes queries, solves N+1 problems, and implements subscriptions. Use PROACTIVELY for GraphQL API design or performance issues.
