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Dinara GarcinDG

Dinara Garcin

Python Backend Developer

€500/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Dinara

I am a Python backend developer with 4 years of experience, specializing in the design and development of high-performance platforms. With a strong command of frameworks like Django and FastAPI, as well as data management, I place great importance on implementing robust features and optimizing performance, while adhering to software development best practices.

I particularly enjoy working on data processing, designing efficient systems for its management, transformation, and analysis. Passionate about continuous improvement and code quality, I am convinced that my technical expertise and rigorous approach can bring real added value to your company.
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Russian

    Native or bilingual

Can work on-site
Paris (up to 15km)

Experience

  • Pysae,
    Python Backend Developer
    January 2021 - August 2025 (4 years and 7 months)
    Development of a SaaS platform that facilitates real-time data exchange for public and private transport companies (+5000 buses connected/day)
    • Development of new features
    ◦ Design and optimization of advanced statistical reports -> reducing average response time from 2 min to 3 sec
    ◦ GTFS file validation
    ◦ Automation of deviation handling
    ◦ Interval regulation system
    • Migration of the API from Tornado to FastAPI
    ◦ Database design and migration management
    ◦ Implementation of business logic layers
    ◦ Addition of unit, integration, and end-to-end tests -> increasing test coverage to 70%
    • Performance optimization
    ◦ Implementation of asynchronous code, multiprocessing, background tasks
    ◦ Migration of frontend responsibilities to the backend
    ◦ Optimization of database queries (MongoDB)
    ◦ Dissemination of best practices within the development team (pep8, black, ruff, pre commit, pair programming) Technical Environment: Python (3.11), FastAPI, Tornado, Pydantic, Pytest, VueJS, AWS, MongoDB, Docker, Notion, Gitlab, Prefect
    Python FastAPI MongoDB
  • O'KEY,
    Data Analyst
    January 2020 - January 2021 (1 year)
    Context: Improvement of sales forecasts for a leader in the food retail sector
    • Definition of parameters that can impact sales (opportunities, risks, tenders, promotions, seasonality)
    • Development of statistical forecasting models
    • Analysis of forecast dashboards
    • Improvement of forecast quality
    • Preparation and participation in demand review.
    • Point of contact between different supply chain stakeholders Technical Environment: Python, Matlab, Oracle

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Education

  • Master's Degree
    Higher School of Economics
    2020
    Master en Ingénierie Financière & Système d’Information
  • Professional Training Diploma
    Yandex Practicum
    2025
    Data Ingénierie

Skill set

Categories