
Oleg Andriyanchenko
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Oleg Andriyanchenko
- Bis heute 6 Monate, seit Jan. 2025
Senior Software Engineer
Packiro GmbH
• Refactored critical legacy code using design patterns and TDD • Reduced regression bugs and increased deployment confidence in production • Maintained and optimized DBT data pipelines • Migrated custom ETL scripts to DLT • Built a working MVP to subscribe to Salesforce events via gRPC, laying the groundwork for real-time integration between sales and internal systems Stack: Python3, asyncio, Clickhouse, Apache Superset, Data Build Tool (DBT), Salesforce, Kubernetes
• Developed and maintained a reliable microservices system with 1000s of clients • Integrated multiple third-party API services for ad data fetching • Led cross-functional team initiatives • Directed a team through the execution of complex quarterly epic projects • Provided mentorship to new team members • Successfully executed resharding of 140+ TB distributed PostgreSQL database Stack: Python3, asyncio, PostgreSQL, asyncpg, RQ, Redis, Kafka, Docker, Ansible, Pandas, FastAPI, Grafana
- 5 Monate, Nov. 2021 - März 2022
Software Engineer
Znanie
• Developed and maintained backend API for online educational service using Django and GraphQL frameworks • Designed robust and scalable PostgreSQL database architecture • Established and maintained CI/CD pipeline using Gitlab CI/CD, Docker and Yandex Cloud Stack: Python, Django, GraphQL, PostgreSQL, Celery, Redis, Docker, Amazon S3, Yandex Cloud, Pytest
- 1 Jahr und 1 Monat, Nov. 2020 - Nov. 2021
Software Engineer
Floship Limited
• Developed and maintained back-end solutions for warehouses based on REST and MQ • Implemented REST-ful API for front-end communication using DjangoREST framework • Integrated third-party API to automate SKU determination • Optimized the performance of db operations through DjangoORM Stack: Python, Django, DjangoREST, PostgreSQL, Celery, RabbitMQ, Redis, Docker, Heroku, Unittest
- 1 Jahr, Okt. 2019 - Sep. 2020
Data Scientist
Roadly Inc.
• Developed and enhanced machine learning models for an international driver’s license recognition project using PyTorch framework • Analyzed and curated data for training datasets • Conducted experiments and tested networks to evaluate performance and quality metrics • Developed and implemented tests for validating data pipeline integrity Stack: Python, PyTorch, OpenCV, C++
Ausbildung von Oleg Andriyanchenko
- 1 Jahr und 10 Monate, Aug. 2021 - Mai 2023
Data Science
SkolTech
- 3 Jahre und 10 Monate, Aug. 2017 - Mai 2021
Computer Science
Innopolis University
Sprachen
Englisch
Fließend
Deutsch
Grundlagen
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