About
Specializing in high-performance Python systems, I design and optimize scalable services using frameworks like FastAPI and Django. My expertise includes intelligent workload distribution across application logic and analytical databases (e.g., ClickHouse), consistently achieving significant performance improvements (up to 10x). I possess extensive experience in the full-cycle development of data-intensive applications, ranging from advanced NLP solutions to large-scale data processing pipelines.
Work
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Summary
Senior Python Backend Developer specializing in building high-performance systems, optimizing data workflows, and maintaining critical services. Led the development of NLP-powered microservices (FastAPI, spaCy) and large-scale data pipelines (ClickHouse, multiprocessing), achieving 10x faster processing of 2TB+ datasets. Automated manual reporting systems and currently maintain 5+ production services, ensuring high availability while implementing performance improvements.
Highlights
Developed a high-performance text moderation NLP service utilizing FastAPI and a custom fine-tuned spaCy model, handling over 2,000 requests per day with a p99 latency under 100ms, and successfully integrated it into the core product pipeline.
Engineered a robust data processing optimization for 2TB datasets, reducing processing time from 1 week to 15 hours through parallel batch processing in Python (Django ORM + multiprocessing) and offloading complex aggregations to ClickHouse (window functions, materialized views), ensuring balanced computational load and preventing memory bottlenecks.
Fostered cross-functional collaboration with Data, ML, and Product teams to resolve complex integration challenges, facilitated critical technical discussions, and streamlined onboarding for new developers to ensure rapid system familiarization.
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Summary
Architected and implemented robust B2B automation and scalable infrastructure solutions for a high-load music aggregator platform, ensuring high availability and optimizing data retrieval.
Highlights
Architected and implemented B2B automation logic for a high-load music aggregator platform, facilitating seamless content delivery for over 10 million media files to major social and streaming platforms, achieving 99.9% uptime through asynchronous processing (Celery/RabbitMQ) and fault-tolerant design.
Designed and deployed a scalable Docker Swarm-based infrastructure, reducing deployment time by 60%, and implemented comprehensive CI/CD pipelines (GitLab CI) with integrated monitoring (Prometheus/Grafana) to optimize operational workflows.
Significantly optimized complex query performance across PostgreSQL (OLTP) and ClickHouse (OLAP) databases, decreasing data retrieval latency by 15% through advanced indexing strategies and strategic query refactoring.
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Summary
Developed and enhanced critical real-time monitoring and payment processing systems, contributing to improved system stability and performance.
Highlights
Engineered a real-time service health monitoring system, integrating SMS, Telegram, and Email notifications, which successfully reduced overall system downtime by 5%.
Led a critical codebase refactoring initiative that significantly enhanced overall system performance, including a 5x reduction in report generation time via SQL refactoring.
Maintained and continuously improved payment processing services, ensuring seamless and reliable transactions for over 10,000 daily users.
Languages
Russian
Native
English
Conversational
Skills
Python
Python, Backend Development, Software Development.
FastAPI
FastAPI, API Development, Web Frameworks.
Django
Django, Web Frameworks, ORM.
SQL
SQL, Database Management, Query Optimization.
PostgreSQL
PostgreSQL, OLTP, Database Administration.
ClickHouse
ClickHouse, OLAP, Analytical Databases.
Docker
Docker, Containerization, Deployment.
RabbitMQ
RabbitMQ, Message Broker, Asynchronous Processing.
CI/CD
CI/CD Pipelines, DevOps, Automated Deployment.
Grafana
Grafana, Data Visualization, Dashboards.