About Eugen
Maximizing your business value with expert software solutions tailored to your unique challenges.
I support you and your company through all phases of the software development lifecycle - from planning and requirements engineering through development and testing until go live and maintenance.
8+ years experience in different industries helping customers to solve their problems using a variety of technologies and methodologies ranging from development:
- Python
- SQL
- Bash
over different types of databases and supporting technologies:
- PostgreSQL
- Clickhouse
- Cassandra
- Apache Kafka
- Airflow
- Spark
in heterogeneous environments:
- AWS
- Cloud
- Kubernetes
- Containers
by applying best practices:
- ETL & ELT
- Data Warehouse
- Data Lake
- Requirements Engineering
German
Native or bilingual
English
Fluent
Russian
Conversational
Can work on-site
Hamburg (up to 50km), Berlin (up to 50km)
Experience
- DER SPIEGELDevelopment of AI-Driven Data Extraction For Historic Document DigitizationCULTUREApril 2026 - June 2026 (2 months)Hamburg, Germany
- Led a team of 3 engineers and coordinated with stakeholders and cross‑functional teams in a highly critical project, ultimately contributing to a piece of content that is among the top‑performing articles to date
- Participated in designing and implementing a data extraction pipeline combining machine learning classification and LLM‑based OCR to digitize over 13 million documents across 10+ terabytes, enabling customers to search previously inaccessible historic records
- DER SPIEGELDevelopment of DataVault Warehouse and KPI Data MartsCULTUREDecember 2025 - Today (7 months)Hamburg, Germany
- Integrated external data sources into a DataVault warehouse, preserving full data history and enabling flexible combination of business entities to support evolving analytical requirements
- Transformed and provided warehouse data as data mart structures containing business‑critical sales KPIs, enabling decision makers and marketing teams to plan and steer based on actionable insights
- Participated in designing and implementing the provision of warehouse data to a new central third‑party data platform, ensuring seamless cross‑system data availability and enabling user independence through self‑service access to business‑critical data
- UndisclosedDevelopment of SEO SaaS MVPSOFTWARE PUBLISHINGDecember 2025 - Today (7 months)Hamburg, Germany
- Performed end‑to‑end requirements engineering, system design, and implementation of a full‑stack SEO‑SaaS MVP, encompassing frontend, backend, and data model architecture to enable early user validation
- Integrated multiple external APIs including Google Search Console, LLM providers, and SEO data sources, enabling users to consolidate fragmented SEO intelligence into a single actionable platform
- Designed and implemented automated workflows to measure website performance by combining connected data sources, providing users with data‑driven insights to optimize their search engine rankings
- Owned deployment and operations of the entire system, ensuring high availability and seamless operation
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Education
- Master of ScienceFernUniversität in Hagen2022Master of Science - MS
- Bachelor of ScienceFACHHOCHSCHULE WEDEL2017Bachelor of Science - BS, Wirtschaftsinformatik