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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

    SnowflakeBigQueryPostgreSQLDatabricksRedshift
  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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