feat(pipeline): add Meltano + dbt + Airflow ELT pipeline scaffold
All checks were successful
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
Build and Push Docker Images / Trigger Portainer Update (push) Successful in 1s

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>
This commit is contained in:
2026-03-26 08:37:53 +00:00
parent 8aca0a7a53
commit 8f02b5125e
65 changed files with 2822 additions and 72 deletions

View File

@@ -0,0 +1,8 @@
-- Mart: Phonics screening results — one row per URN per year
select
urn,
year,
year1_phonics_pct,
year2_phonics_pct
from {{ ref('stg_ees_phonics') }}