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        "rationale": "Languages used to implement data pipelines, transformations, and operational glue. This is the primary coding surface for building ingestion, enrichment, and automation logic in data engineering.",
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        "source": "db"
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      "roles_from_db": [
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      ]
    },
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        "rationale": "Server frameworks and runtimes used to build HTTP services, controllers, middleware, and request pipelines. These frameworks shape how backend endpoints are structured and delivered.",
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          "role_archetype": "Engineering",
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      ]
    },
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        "rationale": "Client-side integration with backend endpoints and third-party services, including request shaping, response handling, and synchronization with UI state. This is central to frontend work because most screens depend on remote data.",
        "slug": "api-integration-and-data-fetching",
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      "input_skill": "JSON",
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      "roles_from_db": [
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    },
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          "rationale": null,
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    },
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      "input_skill": "JSON",
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    },
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        "rationale": "Structural patterns for organizing Python backend code into maintainable modules, layers, and feature boundaries. This is a coherent cluster because senior backend developers are expected to refactor and shape service internals over time.",
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      "input_skill": "Domain-Driven Design",
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        {
          "display_name": "Python Backend Developer",
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      ]
    },
    {
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