Дмитро

Dmytro Turevskyi
Data Engineer / Analytics Engineer
Ukraine (Remote) [відкрити контакти](див. вище в блоці «контактна інформація») [відкрити контакти](див. вище в блоці «контактна інформація») @d_ture d-ture

Summary
Analytical and results-driven Data Engineer with a strong Software Engineering background. Experienced in designing
end-to-end ELT/ETL pipelines, integrating bank/payment APIs, automating financial analytics, and architecting
PostgreSQL databases. Skilled in Python, advanced SQL, data reconciliation, and web automation, with hands-on R&D
experience in complex algorithmic systems. Focused on transforming complex financial and enterprise data into
clean, automated business insights.

Professional Experience
Data Engineer / Analytics Engineer Nov 2025 – Present
Elite Experience EC GmbH
Architected and implemented end-to-end ELT pipelines in Python and PostgreSQL, integrating bank statements,
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payment providers, and financial APIs into automated data workflows.
Developed advanced SQL reconciliation algorithms using deterministic and fuzzy matching techniques to identify
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discrepancies across POS systems, acquiring providers, and bank payouts.
Designed PostgreSQL database schemas and a unified financial data model serving as a single source of truth for
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reporting, reconciliation, and financial auditing.
Automated analytical reporting and investigated internal business processes to improve data quality, reduce
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manual operations, and support executive decision-making.
Data Engineer / R&D Developer Apr 2025 – Oct 2025
R&D Project No. 0124U003344 (Ukraine)
Intelligent Analytical System for Logistic Risk Management in Border Region Recovery.
Designed a high-performance rule-based inference engine using the Rete algorithm for logistics risk assessment and
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rapid knowledge retrieval.
Developed an automated expert rule generation framework to optimize risk assessment workflows and reduce
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manual knowledge engineering.
Engineered an Adaptive Neuro-Fuzzy Inference System (ANFIS) pipeline for vulnerability modeling and predictive
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risk analysis.
Data Analyst & Developer Jun 2024 – Jul 2025
Freelance
Developed end-to-end analytical solutions using Python, SQL, and machine learning for classification, forecasting,
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anomaly detection, and business data analysis.
Built complete data processing workflows including data collection, preprocessing, feature engineering,
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visualization, and predictive modeling.
Applied statistical analysis, model evaluation, and optimization techniques to improve prediction quality and
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extract actionable insights from structured datasets.

Education
Master’s Degree in Software Engineering Sep 2025 – Present
Chernihiv Polytechnic National University
Bachelor’s Degree in Software Engineering Sep 2021 – Jun 2025
Chernihiv Polytechnic National University

Skills
Data Engineering & ETL: Python, SQL, PostgreSQL, DBeaver, ETL/ELT Pipelines, REST API Integration, Web
Automation, Data Reconciliation, Data Warehousing
Analytics & Visualization: Power BI, Advanced Excel, Data Analysis, Financial Auditing, Data Modeling
Libraries & AI/ML: Pandas, NumPy, Scikit-learn, PyTorch, Matplotlib, Jupyter
Tools & Formats: Git, GitHub, JSON, CSV

Languages
English (B1/B2) | Ukraine (Native) | Russian (Native)