Quartz 5

Daily Work Log - 2026-06-05

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tagsdaily-note--engineering

2 min read

Session Log: 2026-06-05

📋 Session Overview

In this session, we expanded the Google Ads capabilities of the dashboard by implementing end-to-end dbt pipelines for Google Local Services Ads (LSA). This includes processing conversations, lead attributions, and lead performance stats from Fivetran, aggregating them in the marts layer, and creating secure presentation models.

🚀 Key Accomplishments

1. Local Services Ads (LSA) Data Modeling & Integration

We established the core LSA data models to capture and display high-intent local phone leads and direct Google-guaranteed booking metrics:

  • Staging Layer: Created models to clean and cast Fivetran raw data streams:
    • stg_google_ads_lsa_conversations.sql — Formats and structures local call recordings and metadata.
    • stg_google_ads_lsa_leads.sql — Extracts lead details, call status, and lead categorization.
    • stg_google_ads_campaign_cross_device_stats.sql — Tracks user cross-device paths.
  • Marts Layer (marts/google_ads):
    • mrt_google_ads_lsa_leads.sql — Consolidates and indexes leads by territory and date ranges.
  • Presentation Layer (presentation/google_ads):
    • pres_google_ads_lsa_leads.sql — Individual lead listings with phone numbers and details for Looker Studio reports.
    • pres_google_ads_lsa_performance.sql — Aggregated cost, impressions, views, and cost-per-lead metrics for territory benchmarking.

2. Maestro Framework & Planning

We formalized the LSA infrastructure planning and architecture files:

  • 01_client_profile_and_goals.md — Defines client goals and dashboard specifications.
  • 02_infrastructure_and_auth_architecture.md — Details security permissions and Fivetran credential maps.
  • 04_lsa_fivetran_and_dbt_integration.md — Maps the transformation of LSA lead attributes.

📁 Files Created & Modified

  • models/sources.yml
  • models/staging/google_ads/stg_google_ads_lsa_conversations.sql
  • models/staging/google_ads/stg_google_ads_lsa_leads.sql
  • models/staging/google_ads/stg_google_ads_campaign_cross_device_stats.sql
  • models/marts/google_ads/mrt_google_ads_lsa_leads.sql
  • models/presentation/google_ads/pres_google_ads_lsa_leads.sql
  • models/presentation/google_ads/pres_google_ads_lsa_performance.sql
  • docs/maestro/plans/01_client_profile_and_goals.md
  • docs/maestro/plans/02_infrastructure_and_auth_architecture.md
  • docs/maestro/plans/03_engineering_work_logs.md
  • docs/maestro/plans/04_lsa_fivetran_and_dbt_integration.md

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