Ondrej Ivanko

- Maintain & extend portfolio of 15 microservices exposing 100+ FastAPI endpoints (Pydantic-validated for a geospatial agricultural platform - Designed the initial Celery canvas-based pipeline architecture still in production today; built data pipelines with Celery, Redis, and RabbitMQ that fetch, clean, transform, and store third-party geospatial data in PostGIS/MySQL - Integrated 10+ external APIs: satellite imagery (Planet Labs, Copernicus/SentinelHub), cadastral registries, agricultural OEMs, Amazon S3

- Worked in a 4-developer team maintaining a filtration and processing pipeline for a continuous stream of automotive fleet data, built to a strict no-data-loss requirement. - Maintained and extended a Python microservice architecture deployed in-house and on Azure using Docker, Helm 3, Kubernetes, and Skaffold. - Developed asynchronous Python services processing data from automotive fleet hardware/firmware and from toll and related third-party APIs; event-driven integrations with Apache Kafka and Redis.

- Contributed to a greenfield Django REST Framework microservice API for the screening/movie-industry domain. - Worked with Python 3, Django 3.x, PostgreSQL 12, Docker, and Dredd contract tests in a GitLab-based workflow.