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Nathan Boulogne

Nathan Boulogne

Data Engineer / Analytics Engineer

  • Paris, France
  • Freelance · Full-time

For over 5 years, I've been designing reliable data architectures built to be used, not just maintained. From ingestion to dashboard, I industrialize pipelines, analytics platforms, and CI/CD workflows with one constant goal: bring data closer to business decisions.

Multi-source data ecosystems industrialized, faster access to KPIs for marketing and product teams, analytics tools adopted by the business: that's the through-line across my engagements.

Industry experience

  • Marketing & growth
  • Transport & mobility
  • Fintech
  • Software publishers & SaaS

Tech Stack

From raw data to dashboard: my typical workflow for delivering value

  1. Ingestion

    DLTCustom connectors
  2. Orchestration

    PrefectAirflowDagster
  3. Data Warehouse

    SnowflakeBigQueryPostgreSQLClickHouseDatabricksRedshift
  4. Transformation

    dbtCustom
  5. Business Intelligence

    ReactTypeScriptTableauPower BI
  6. APIs

    FastAPI
  7. Streaming

    KafkaGoogle Pub/Sub
  8. Cloud

    AWSGCP
  9. CI/CD & DevOps

    GitHub ActionsGitLab CI/CDDockerKubernetes

Skills

Technical depth rooted in business understanding. I build data systems that teams actually use.

  • Data engineering

    Production pipelines, modeling, and orchestration from ingestion to delivery, built for reliability at scale.

  • Business fluency

    Marketing, growth, and product contexts. I translate business needs into architectures stakeholders can trust.

  • Architecture & modeling

    Star schemas, dimensional models, platform design and stack decisions built for scalability and governance.

  • Cloud & infrastructure

    Hands-on AWS and GCP. Architectures designed for performance, cost, and long-term maintainability.

  • End-to-end ownership

    From fuzzy problem to shipped solution, with a pragmatic, scalable, impact-driven approach.

  • Continuous learning

    Always exploring new tools and practices to deliver better, faster, and stay ahead of the curve.

Let's talk about your project

Data platform, pipeline, dashboard, or long-term mission: tell me what you need and I'll get back to you within 48 hours.

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