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Léo MaciasLM

Léo Macias

Software Engineer / Data Engineer

€450/day
Bordeaux, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Léo

Missions sought: Freelance primarily. Less than 1 year in Bordeaux or long-term full remote

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Data Engineer with 7+ years of experience, specializing in real-time analytics, data pipelines, and performance optimization.

After five years in data engineering, I chose freelancing to continue self-taught progress and broaden my scope, particularly through my personal research in sound design and generative art. I now apply my rigor and adaptability to demanding and innovative data projects.

Expertise: Python • SQL • Snowflake • ClickHouse • MariaDB • Airflow • Talend • Tableau • Grafana • Data Modeling • ETL/ELT

> Find my CV at meo-mumu.io
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Bordeaux (up to 50km)

Experience

  • Betclic
    Data engineer
    ENTERTAINMENT AND LEISURE
    September 2024 - May 2025 (8 months)
    Bordeaux, France
    🔹 Data Pipelines & Infrastructure
    - Development and maintenance of SQL pipelines on Snowflake
    - Workflow orchestration via Apache Airflow and Talend (hosted on AWS)
    - CI/CD via GitHub

    🔹 Optimization & Modeling
    - Optimization of SQL queries on large volumes
    - Data modeling for new data products

    🔹 Industrialization Projects
    - Industrialization of casino player segmentation
    - Industrialization of casino game volatility calculation

    🔹 Business Intelligence
    - Creation of Tableau dashboards for business KPI monitoring
    - Automation of Excel reports

    📊 Data handled: Online casino and poker player behavior
    SQL Airflow Tableau software Snowflake Talend
  • MCMA-Solutions
    Data engineer
    ENERGY AND UTILITIES
    October 2023 - April 2024 (7 months)
    Bordeaux, France
    🔹 Achievements
    - Migration of legacy architecture to a modern stack
    - Development of modular Python pipelines for real-time data ingestion and transformation
    - Progressive migration without service interruption
    - Performance optimization

    🔹 Final technical stack
    - Python pipelines
    - Mage AI orchestration
    - Databases: MariaDB, ClickHouse
    - S3 storage
    - Real-time Grafana dashboards
    Python Mage ai Grafana SQL Clickhouse
  • Mc MA Solutions
    Data Engineer
    ENERGY AND UTILITIES
    March 2017 - December 2021 (4 years and 9 months)
    Bordeaux, France
    🔹 Context & Mission
    - Creation of the data department from scratch with the CEO and a colleague in a startup team (<10 people)
    - Objective: Energy monitoring (consumption and costs) for large public and private clients
    - Collection, storage, calculation, and visualization of real-time energy data

    🔹 Data handled
    - Millions of real-time energy consumption points (electricity and gas meters)
    - Energy bills (multi-format PDF parsing from 20+ providers)
    - External data: weather, energy prices, contracts, client infrastructure

    🔹 Use cases developed
    - Forecasts of future energy bills
    - Simulations of contract changes by pool of delivery points
    - Cross-analyses: contracts vs bills vs real-time consumption
    - Real-time display on interactive client application

    🔹 Architecture & Technical Stack
    - Design and development of data microservices (REST API)
    - Talend ETL orchestrated by Scala/Akka framework (streaming)
    - Java backend
    - Databases: MySQL, Elasticsearch
    - Real-time Grafana dashboards
    - CI/CD via GitLab

    🔹 Management & Client Relations
    - Supervision of 2 interns
    - Development of product roadmaps
    - Client follow-up and business needs analysis

    📊 Domain: Energy & Environment | Real-time monitoring | Predictive analytics
    Java Talend Grafana SQL/NoSQL Scala

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Education

  • Computer Science and Statistics Engineer (with Erasmus in Poland in the final year)
    Polytech'Lille, Politechnika Lodz
    2017
    Un tiers d’informatique (bases de données ingénierie logicielle, bases de données, Java, C, . . .), un tiers de statistique (probabilités, algorithmique numérique, classification, processus stochastiques, R, Python, . . .), un tiers de sciences humaines, économiques, juridiques et sociales (protection et usage des données, informatique et développement durable, . . .).
  • University Institute of Technology in Statistics and Decision Support IT (STID)
    Paris Descartes
    2014

Skill set

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