← Expertise centers DataForge · Data Engineering & Analytics

Your data, structured and actionable, by a team of data agents.

Data pipelines, quality, reporting, BI. Specialized agents deployed inside your IT system that design, generate and — through MCP connectors — operate your data chain.

// on-premise · BYOK · human governance · sovereign by design

dataforge · elt pipeline
Extraction — 3 PostgreSQL databasesHeterogeneous sources Read
dbt transformation · data warehouseModeling & cleaning dbt
Airflow orchestrationTimestamped DAG · error handling Run
Metabase dashboard · executive committeeKPIs delivered BI
Skills bank 400+ data skills indexed Continuous GitHub monitoring 14 domains covered
Domains covered

14 domains of data engineering and analytics.

Audited open-source skills, indexed and kept up to date through continuous GitHub monitoring.

ETL / ELT dbt Airflow Spark SQL Data Quality Data Governance BI (Power BI, Tableau, Metabase) Data Warehouse Data Lake Streaming (Kafka) Python Data ML Ops Data Mesh
Example agents

Specialized agents for every stage of your data chain.

Each agent is useful on its own in advisory mode, and far more powerful with an MCP connector.

Pipeline Agent

Proposes the architecture of ETL/ELT pipelines tailored to your context: tool selection, transformation modeling, generation of the Airflow orchestration code and error-handling scripts. With an MCP connector: deployment and execution monitoring.

IngestionAdvisory + MCP

Quality Agent

Proposes data validation rules (completeness, consistency, freshness, uniqueness) and generates the configuration for automated checks. With an MCP connector: running the checks and raising alerts on anomalies in the pipelines.

QualityAdvisory + MCP

BI Agent

Designs the KPIs, proposes the data modeling and generates dashboard specifications tailored to business needs. Produces the queries, visualization schemas and documentation for Power BI, Tableau or Metabase. With a BI MCP connector: direct creation and configuration of dashboards.

AnalyticsAdvisory + MCP

Migration Agent Pro

Plans the data warehouse migration: inventory of tables and queries, schema mapping, completeness validation plan and generation of non-regression tests on the existing reports. With a DB MCP connector: assisted execution of the migration.

MigrationAdvisory + MCP

Governance Agent Pro

Sets up the data catalog, documents lineage, defines owners and access policies. Structures governance to make data reliable and accessible.

GovernanceAdvisory + MCP

Custom agent

A data agent dedicated to your business, with your rules (FORGE.md) and your internal connectors.

Let's talk about it →
Advisory mode vs MCP mode

The agent is already useful on its own. With an MCP connector, it becomes 10x more powerful.

Without access to your systems, the agent designs and generates. Connected through MCP, it executes and operates directly — under human governance.

Without an MCP connector

  • Designs the pipelines and proposes the data architecture
  • Generates the SQL and dbt code and the orchestration scripts
  • Proposes the modeling and BI specifications
  • Analyzes the metadata you provide to it

With an MCP connector

  • Queries your databases directly
  • Continuously checks data quality
  • Generates and deploys BI reports automatically
  • Monitors pipeline execution in real time

// Custom engagement

Possible MCP connectors

Connecting to your data tools through the MCP protocol.

Each connector is configured and adapted to your environment. Integration on quotation, custom engagement.

Databases (PostgreSQL, MySQL, MongoDB) BI tools Airflow Data catalogs
Use cases

Concrete scenarios where DataForge delivers immediate value.

From building a pipeline to governance, actionable deliverables from day one.

Building a reporting pipeline

The Pipeline Agent designs a complete ELT pipeline: extraction from 3 PostgreSQL databases, dbt transformation in a data warehouse, Airflow orchestration and feeding a Metabase dashboard for the executive committee.

Data quality audit

From the metadata you provide, the Quality Agent identifies columns with abnormal null rates, critical duplicates and referential inconsistencies. It generates the validation rules and configuration files to integrate into the pipeline. With a DB MCP connector: direct analysis of the tables.

Migration to a cloud data warehouse

The Migration Agent inventories 150 tables and 80 reports, plans the migration in 3 waves, adapts the SQL queries to the new dialect and proposes the plan to validate the completeness of the migrated data table by table.

Setting up governance

The Governance Agent catalogs 500 tables, documents end-to-end lineage, identifies sensitive data, assigns data owners and proposes role-based access policies for the catalog. With an MCP connector: direct enforcement of the policies.

Turnkey engagement

Structure your data with DataForge

Request a demonstration tailored to your data stack. Audit, on-premise installation, configuration of the agents for your business and training for your teams.