1 - Explain the following dbt model  with simple terms that a business user can understand.
2 - Act as a analytics engineer & describe the schema above.

WITH stg_leads AS (
  SELECT *
    FROM {{ ref('stg_leads') }}
),
int_invalid_users AS (
  SELECT *
    FROM {{ ref('int_invalid_users') }}
),
fct_lead_status_changes AS (
  SELECT *
    FROM {{ ref('fct_lead_status_changes') }}
),
stg_opportunities AS (
  SELECT *
    FROM {{ ref('stg_opportunities') }}
),
fct_meetings AS (
  SELECT *
    FROM {{ ref('fct_meetings') }}
),
m2m_org_org_by_domain AS (
  SELECT *
    FROM {{ ref('m2m_org_org_by_domain') }}
),
free_email_providers AS (
  SELECT *
    FROM {{ ref('free_email_providers') }}
),
m2o_email_main_user AS (
  SELECT *
    FROM {{ ref('m2o_email_main_user') }}
),
stg_lead_history_critical_fields AS (
  SELECT *
    FROM {{ ref('stg_lead_history_critical_fields' )}}
),
stg_contacts AS (
  SELECT *
    FROM {{ ref('stg_contacts') }}
),
last_critical_field_values AS (
  SELECT DISTINCT
         stg_lead_history_critical_fields.lead_id,
         LAST_VALUE(CASE WHEN stg_lead_history_critical_fields.field = 'Title' THEN stg_lead_history_critical_fields.new_value END IGNORE NULLS) OVER (
           PARTITION BY stg_lead_history_critical_fields.lead_id ORDER BY
            CASE WHEN stg_lead_history_critical_fields.field = 'Title'
            THEN stg_lead_history_critical_fields.event_at END
            ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
         ) AS last_manually_changed_title,
         L Use words with all capital letters to highlight key points, but make sure that words with all capital letters appear less than 8 times
user