feat(ees): rewrite EES tap and KS2 models for actual data structure

- Fix publication slugs (KS4, Phonics, Admissions were wrong)
- Split KS2 into two streams: ees_ks2_attainment (long format) and
  ees_ks2_info (wide format context data)
- Target specific filenames instead of keyword matching
- Handle school_urn vs urn column naming
- Pivot KS2 attainment from long to wide format in dbt staging
- Add all ~40 KS2 columns the backend needs (GPS, absence, gender,
  disadvantaged breakdowns, context demographics)
- Pass through all columns in int_ks2_with_lineage and fact_ks2

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

pipeline/transform/models/marts/fact_ks2_performance.sql

@@ -6,17 +6,50 @@ select
     source_urn,
     year,
     total_pupils,
+    eligible_pupils,
+
+    -- Core attainment
     rwm_expected_pct,
-    reading_expected_pct,
-    writing_expected_pct,
-    maths_expected_pct,
     rwm_high_pct,
+    reading_expected_pct,
     reading_high_pct,
-    writing_high_pct,
-    maths_high_pct,
-    reading_progress,
-    writing_progress,
-    maths_progress,
     reading_avg_score,
-    maths_avg_score
+    reading_progress,
+    writing_expected_pct,
+    writing_high_pct,
+    writing_progress,
+    maths_expected_pct,
+    maths_high_pct,
+    maths_avg_score,
+    maths_progress,
+    gps_expected_pct,
+    gps_high_pct,
+    gps_avg_score,
+    science_expected_pct,
+
+    -- Absence
+    reading_absence_pct,
+    writing_absence_pct,
+    maths_absence_pct,
+    gps_absence_pct,
+    science_absence_pct,
+
+    -- Gender
+    rwm_expected_boys_pct,
+    rwm_high_boys_pct,
+    rwm_expected_girls_pct,
+    rwm_high_girls_pct,
+
+    -- Disadvantaged
+    rwm_expected_disadvantaged_pct,
+    rwm_expected_non_disadvantaged_pct,
+    disadvantaged_gap,
+
+    -- Context
+    disadvantaged_pct,
+    eal_pct,
+    sen_support_pct,
+    sen_ehcp_pct,
+    stability_pct
+
 from {{ ref('int_ks2_with_lineage') }}