DGFreelancer profile translated to English.
Back to original languageAbout 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 DeveloperJanuary 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
- O'KEY,Data AnalystJanuary 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 DegreeHigher School of Economics2020Master en Ingénierie Financière & Système d’Information
- Professional Training DiplomaYandex Practicum2025Data Ingénierie