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Maxime LemaitreML

Maxime Lemaitre

Data Engineer | DataOps | Architect 📈

€600/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Maxime

💡 I help companies design modern, scalable, reliable, and optimized data platforms. I work across the entire data engineering spectrum, from data platform design to modeling to address business challenges.

Certified AWS Solutions Architect Associate, Hashicorp Terraform Associate, Snowflake SnowPro Core, dbt developer, and Astronomer Airflow dag Authoring and dlt Advanced ELT Specialist.

With over 15 years of experience in backend engineering, DevOps, analytics engineering, and data engineering,I am versatile and capable of quickly acquiring new skills in any environment.

đŸ—ïž Data Platform Architecture
⏔ Designing data platforms (batch, streaming) on AWS cloud with Terraform
⏔ Selecting the best storage (data warehouse, data lake), transformation tools (dbt, Athena, Polars), and deployment methods for team assets
⏔ Organizing an S3 data lake and structuring a data warehouse like Snowflake
⏔ Effectively using duckdb

🔧 Data Pipeline Design & Orchestration
⏔ Building and enriching ETL/ELT pipelines with tools like dbt/Python
⏔ Migrating legacy workflows to orchestrators like Airflow/Dagster
⏔ Implementing modular, testable, and maintainable workflows
⏔ Integrating sources with tools like Airbyte/dlt

⚡ Performance & Costs
⏔ Optimizing data platform costs
⏔ Optimizing data warehouses like Redshift/Snowflake to reduce processing times
⏔ Optimizing SQL queries to reduce transformation times

📊 Data Delivery & Reliability
⏔ Ensuring reliable delivery of assets to BI tools and internal teams (data scientists, data analysts)
⏔ Transforming raw data into documented data models with dbt
⏔ Implementing data quality and observability on pipelines/assets
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 10km)

Experience

  • TheFork
    Senior Data Engineer
    January 2026 - Today (7 months)
    Paris, France
    ⚙ Technical Environment
    Airflow (EKS/Helm/Kubernetes), dbt, AWS (S3/Athena), Snowflake, Terraform, Postgres, Github, Docker
    Kubernetes Airflow Snowflake Amazon Web Services Python
  • Believe
    Senior Data Engineer
    July 2025 - December 2025 (5 months)
    Paris, France
    🎯 Missions
    ▾ Lead for Finance datasets, managing over 30 data sources and translating business needs into reliable, analysis-ready models
    ▾ Investigated and resolved a production incident impacting Spotify Discovery Mode data, restoring data reliability and stakeholder confidence
    ▾ Enhanced the TikTok Virality / TuneCore Conversion Funnel pipeline by adding country-specific analysis and platform-specific dimensions
    ▾ Identified and fixed over 25 data quality issues, strengthening the accuracy, consistency, and trust in datasets
    ▾ Proposed and implemented Snowflake optimizations, including query and model refactoring, incremental strategies, and better warehouse utilization, reducing computational waste and improving performance

    ⚙ Technical Environment
    AWS (lambda/step function/s3/batch), Snowflake, Terraform, Pulumi, Sqitch, Postgres, Gitlab, Docker
    Snowflake AWS SQL Python Data Governance
  • MadKudu
    Staff Data Engineer
    May 2023 - April 2025 (1 year and 11 months)
    Paris, France
    🏱 Context
    I was responsible for the data platform and AWS cloud infrastructure. As the main liaison between the CTO and product, my goal was to develop a scalable, reliable, and efficient data platform, while aligning technical constraints with strategic objectives.

    🎯 Missions
    ▾ Implemented the MadKudu Copilot pipeline for 100+ B2B SaaS clients.
    ▾ Added new sources, thereby enriching platform signals.
    ▾ Set up a Python data API, reducing insight access time and facilitating interconnection with other systems.
    ▾ Reduced AWS infrastructure costs by 40%.
    ▾ Optimized existing lead scoring pipelines, improving the accuracy and reliability of produced data, with over 500 issues resolved.
    ▾ Managed AWS cloud with 15+ applications, improving availability and deployment speed to a few minutes via GitOps.
    ▾ Implemented a streaming pipeline for product tracking.
    ▾ Led 4 T-shaped teams by managing roadmaps, milestones, team rituals, and product interactions.

    ⚙ Technical Environment
    AWS, Node.js, Snowflake, Redshift, Athena, Terraform, dbt, Airflow, DuckDB/MotherDuck,
    Postgres, dlt, GitHub, Docker.
    Amazon Web Services Terraform DBT Airflow DuckDB

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Education

  • Master's degree
    ISEN - Engineering school for High Technologies and Digital
    2005
    Master's degree

Certifications

Skill set

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