About Ekaterina
I help companies build reliable Python backends, data pipelines, and geospatial applications.
I specialize in backend engineering, data processing, and map-based products. I have 5+ years of experience at Yandex building and operating large-scale analytics systems, MapReduce-style pipelines, monitoring, and production services.
I can help with:
- Python backend development with Django / DRF
- Data pipelines, ETL, and analytics workflows
- Geospatial data processing with GeoPandas, PostGIS, OpenStreetMap data, GeoJSON, CRS/projections, and spatial joins
- Map-based web applications using Leaflet / React
- Cloud deployment, Docker, CI/CD, monitoring, and production maintenance
My background combines strong backend engineering with practical geospatial project experience. I have built geospatial portfolio projects involving building classification, urban data analysis, raster/vector processing, feature engineering, and interactive map demos.
Typical deliverables include backend APIs, data-processing pipelines, geospatial datasets, map-based tools, dashboards, automation scripts, and deployment-ready services.
Russian
Native or bilingual
English
Fluent
Can work on-site
Belgrade (up to 30km)
Experience
- YandexSoftware EngineerTECHJanuary 2020 - October 2025 (5 years and 9 months)Yerevan, Armenia
- Maintained and optimized large-scale analytics services and MapReduce-style batch data pipelines, processing 100M+ records daily, improving reliability and performance of production systems.
- Led the migration of core backend components from Python 2.7 to Python 3.11 within Yandex’s internal monorepo and build system.
- Reduced CPU demand by 6.5× through optimization of distributed data-processing computations
- Designed and integrated monitoring and alerting for analytics pipelines, including dashboards and key operational metrics such as job execution time, which improved issue detection and debugging
- Implemented a distributed clustering algorithm based on a DSU variation in a MapReduce environment, improving processing efficiency and fault tolerance
- Refactored and stabilized legacy backend APIs, introducing modern testing practices, including 64% unit test coverage and integration tests running full pipelines in a local YTsaurus cluster.
- Contributed to data collection pipelines for YaGPT, supporting research-driven LLM development
- Collaborated with ML and product teams to deliver new analytics report types and a kNN-based automoderation system, expanding product capabilities for end users.
- YandexSoftware Engineering InternTECHOctober 2019 - January 2020 (3 months)Moscow, Russia
- Supported development of backend services for collecting and serving sports event data, contributing across Django, PostgreSQL, Celery, MongoDB, and Node.js components.
- Delivered feature updates, dependency upgrades, and pytest-based tests, improving maintainability of an existing production codebase.
- Independent ProjectBackend Engineer / Geospatial Product DeveloperDIGITAL AND ITNovember 2025 - Today (9 months)Belgrade, SerbiaDeveloped and deployed Sidescape, a private invite-only social mapping platform.
- Built the backend using Django, Django REST Framework and PostGIS, including API design, authentication, and core product logic.
- Built an interactive map-based frontend using React and Leaflet, integrating it with the backend APIs.
- Set up containerized deployment with Docker, CI/CD, and cloud infrastructure on Yandex Cloud.
- Owned the full development lifecycle, from architecture and implementation to deployment and maintenance
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Education
- Bachelor of Computer Science (BCompSc)National Research University Higher School of Economics2020Bachelor of Computer Science (BCompSc)