Mentat Commons

Designing decisions for collective intelligence

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Data Engineering

Data quality contracts, dbt modeling layouts, and ingestion dag orchestration.

Published: 2026-08-01•Last Updated: 2026-08-07

What is this service?

Establish reliable analytics data pipelines with structured contracts, validation rules, and scalable storage layers.

Who is this for?

Data teams seeking to build robust data foundations for AI engines and executive reporting.

Pricing & Engagement

  • Starting from: ₹16,00,000
  • Typical range: ₹16,00,000 - ₹35,00,000
  • Pricing Model: Fixed-fee pipeline build
  • Engagement timeline: 4 to 8 weeks

Typical Problems We Resolve

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Upstream API schema modifications breaking downstream models without warning.

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Slow, unoptimized query runtimes in data warehouses driving up costs.

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Unreliable cron jobs leading to incomplete data in reporting tables.

Key Deliverables

Data Quality Contract & Schema Schema Validator
dbt Modeling Warehouse Layout & ETL Scripts
Airflow/Prefect Ingestion Dag Orchestrators

Technology Stack

PythonPostgreSQLdbtApache AirflowDuckDBBigQuery

Expected Outcomes

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Failing pipelines halted gracefully via data contract enforcement, preventing corruption.

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Analytical query speeds optimized by 3x, reducing cloud warehouse spend.

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100% data auditability back to ingestion source.

Next Steps & Engagement

Request a review of your analytical queries and warehouse performance schemas.