feat(pipeline): add Meltano + dbt + Airflow ELT pipeline scaffold
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Build and Push Docker Images / Build Backend (FastAPI) (push) Successful in 35s
Build and Push Docker Images / Build Frontend (Next.js) (push) Successful in 1m9s
Build and Push Docker Images / Build Integrator (push) Successful in 56s
Build and Push Docker Images / Build Kestra Init (push) Successful in 32s
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Replaces the hand-rolled integrator with a production-grade ELT pipeline using Meltano (Singer taps), dbt Core (medallion architecture), and Apache Airflow (orchestration). Adds Typesense for search and PostGIS for geospatial queries. - 6 custom Singer taps (GIAS, EES, Ofsted, Parent View, FBIT, IDACI) - dbt project: 12 staging, 5 intermediate, 12 mart models - 3 Airflow DAGs (daily/monthly/annual schedules) - Typesense sync + batch geocoding scripts - docker-compose: add Airflow, Typesense; upgrade to PostGIS - Portainer stack definition matching live deployment topology Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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pipeline/transform/dbt_project.yml
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28
pipeline/transform/dbt_project.yml
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name: school_compare
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version: "1.0.0"
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config-version: 2
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profile: school_compare
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model-paths: ["models"]
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macro-paths: ["macros"]
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test-paths: ["tests"]
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seed-paths: ["seeds"]
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target-path: "target"
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clean-targets: ["target", "dbt_packages"]
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models:
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school_compare:
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staging:
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+materialized: view
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+schema: staging
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intermediate:
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+materialized: view
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+schema: intermediate
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marts:
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+materialized: table
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+schema: marts
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seeds:
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school_compare:
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+schema: seeds
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