feat(pipeline): add Meltano + dbt + Airflow ELT pipeline scaffold

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>

pipeline/plugins/extractors/tap-uk-fbit/pyproject.toml

@@ -0,0 +1,16 @@
+[build-system]
+requires = ["setuptools>=68", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "tap-uk-fbit"
+version = "0.1.0"
+description = "Singer tap for UK FBIT (Financial Benchmarking and Insights Tool)"
+requires-python = ">=3.10"
+dependencies = [
+    "singer-sdk~=0.39",
+    "requests>=2.31",
+]
+
+[project.scripts]
+tap-uk-fbit = "tap_uk_fbit.tap:TapUKFBIT.cli"

pipeline/plugins/extractors/tap-uk-fbit/tap_uk_fbit/__init__.py

@@ -0,0 +1 @@
+"""tap-uk-fbit: Singer tap for Financial Benchmarking and Insights Tool API."""

pipeline/plugins/extractors/tap-uk-fbit/tap_uk_fbit/tap.py

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+"""FBIT Singer tap — extracts financial data from the FBIT REST API."""
+
+from __future__ import annotations
+
+from singer_sdk import Stream, Tap
+from singer_sdk import typing as th
+
+
+class FBITFinanceStream(Stream):
+    """Stream: School financial benchmarking data."""
+
+    name = "fbit_finance"
+    primary_keys = ["urn", "year"]
+    replication_key = None
+
+    schema = th.PropertiesList(
+        th.Property("urn", th.IntegerType, required=True),
+        th.Property("year", th.IntegerType, required=True),
+        th.Property("per_pupil_spend", th.NumberType),
+        th.Property("staff_cost_pct", th.NumberType),
+        th.Property("teacher_cost_pct", th.NumberType),
+        th.Property("support_staff_cost_pct", th.NumberType),
+        th.Property("premises_cost_pct", th.NumberType),
+    ).to_dict()
+
+    def get_records(self, context):
+        # TODO: Implement FBIT API extraction
+        # The FBIT API requires per-URN requests with rate limiting.
+        # Implementation will batch URNs from dim_school and request
+        # financial data for each.
+        self.logger.warning("FBIT extraction not yet implemented")
+        return iter([])
+
+
+class TapUKFBIT(Tap):
+    """Singer tap for UK FBIT financial data."""
+
+    name = "tap-uk-fbit"
+
+    config_jsonschema = th.PropertiesList(
+        th.Property(
+            "base_url",
+            th.StringType,
+            default="https://financial-benchmarking-and-insights-tool.education.gov.uk/api",
+        ),
+    ).to_dict()
+
+    def discover_streams(self):
+        return [FBITFinanceStream(self)]
+
+
+if __name__ == "__main__":
+    TapUKFBIT.cli()