Yurii

Yurii Didyk Python Software Engineer

CONTACT Phone: [открыть контакты](см. выше в блоке «контактная информация») Location: Lviv, Ukraine
Email: [открыть контакты](см. выше в блоке «контактная информация») Links: Github, Linkedin

SUMMARY Python Software Engineer with 4 years of experience in building backend systems
and automated processing pipelines. Specialized in designing event-driven workflows,
image processing pipelines, and hardware–software integrations. Experienced in
refactoring legacy codebases, improving reliability, and optimizing performance of
high-volume batch processes. Focused on clean architecture and maintainable systems.

TECH SKILLS Storages & Databases
Parquet, Delta, PostgreSQL, S3 Data Lake, YAML/CSV Metadata Configs
Programming
Python, SQL, Bash
Data Engineering
Databricks, Airflow, Pandas, DuckDB, ETL/ELT, Batch Pipelines
Orchestration & Workflow Automation
Apache Airflow, Fysom
DevOps & IaC
Terraform, Docker, CI/CD collaboration, Git/GitLab MR workflows
Architecture & Concepts
Data Lakehouse, Batch Processing, DAG Authoring, Delta Lake
Backend
Flask

PROFESSIONAL Python Engineer | Jul 2022-Present
EXPERIENCE COXIT
Modernized the tech stack by updating outdated libraries and fixing deprecated
functions to ensure long-term support
Debugged and resolved complex issues within the image capture workflow, ensuring
consistent data flow, metadata extraction, and local storage
Optimized camera integration by implementing the Sony SDK, achieving superior control
and performance over generic gPhoto2 drivers for Sony devices
Upgraded gPhoto2 integration to the latest stable version to ensure stable performance
and broader compatibility for a wide range of non-Sony digital cameras.
Refactored camera control logic by decoupling a monolithic codebase into modular
drivers
Enhanced and scaled an event-driven data pipeline orchestrated via a State Machine
for high-volume image processing that collects, validates, processes, and stores
thousands of images daily
Built automated data validation and quality checks to ensure image integrity and
metadata consistency
Implemented new processing states and business logic, which improved pipeline
flexibility, enabled better error recovery, and ensured data consistency across the
lifecycle
Optimized complex SQL queries that were dynamically generated within the Python
backend
EDUCATION The National Forestry University of Ukraine | 2024-Present
Bachelor's degree, Engineering Mechanics, Automation and
Computer-Integrated Technologies

CERTIFICATES Astronomer Certification DAG Astronomer Certification for Apache
Authoring for Apache Airflow 3 | 2026 Airflow 3 Fundamentals | 2026

Databricks Certified Data Engineer AWS Certified Cloud Practitioner |
Associate | 2026 2025

LANGUAGES English | B2+ Ukrainian | Native