Vasyl P.

Senior Python Backend Engineer building real-time data pipelines and AI-powered systems (5+ years commercial experience) I design and ship production backend services for data-intensive platforms — from Kafka-based real-time ingestion to ClickHouse analytics at scale (800M+ records) and LLM-powered tools built on the OpenAI API. I own features end-to-end: architecture, implementation, deployment, and production support. Recent highlights: ▸ Cut data ingestion latency by ~40% by redesigning a Kafka/WebSocket pipeline for live sports event streams ▸ Reduced ClickHouse query time by 50-60% and storage costs by ~20% through partition and query redesign on an 800M-record database ▸ Built an internal AI knowledge assistant (OpenAI API) letting engineers search documentation and configs across 60+ systems in natural language ▸ Architected a decoupled document-processing pipeline with a GPU-backed worker service, priority-based task queueing (Dramatiq/Redis), and ML model integration ▸ Delivered OAuth2/AWS Cognito authentication for a regulated-industry client, meeting enterprise security requirements 💪 Core stack: ✅ Python, FastAPI, Flask, Django/DRF, AsyncIO, Pydantic, SQLAlchemy ✅ Kafka, Celery, Dramatiq, RabbitMQ, WebSockets ✅ PostgreSQL, ClickHouse, MongoDB, Redis ✅ OpenAI API, LangChain, RAG, Vector Search, Prompt Engineering ✅ Docker, Kubernetes, AWS, GCP, CI/CD (GitHub Actions, GitLab CI) ✅ REST API, Swagger/OpenAPI, OAuth2, JWT I work best with clients who need a reliable senior engineer to take ownership of a service or feature — not just write code to spec, but think through architecture, edge cases, and long-term maintainability. Clear communication and predictable delivery matter to me as much as clean code. Open to long-term collaboration and complex, high-load projects. Let's discuss your requirements. Vasyl