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/requirements.txt
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pipeline/requirements.txt
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# Pipeline dependencies
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meltano==3.5.*
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dbt-postgres~=1.8
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apache-airflow==2.10.*
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apache-airflow-providers-postgres>=5.0
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typesense>=0.21
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requests>=2.31
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openpyxl>=3.1
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odfpy>=1.4
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psycopg2-binary>=2.9
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