Contact information

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Work experience

Business Analyst

from 04.2025 to 06.2025 (2 months)
EPAM Systems, Inc.; Software & Hi-Tech, Вінниця (IT)

Project: The application serves as a platform for a pet hotel and rescue shelter designed for individuals unable to travel with their pets, thus ensuring professional care in their absence
Responsibilities:
- Gather, clarify, and write requirements from PO
- Prioritize requirements
- Conduct planning and refinement sessions with the dev team by Scrum
- Prepare newsprint backlog
- Manage old requirements
-Maintained documentation in Jira and Confluence
Additional info:
Tools and Technologies:
Miro, Jira, Figma, Confluence, Swagger

Team:
Product Owner: 1 member
Scrum Master: 1 member
Business Analysts: 2 members
Backend Developers: 2 members
Frontend Developers: 3 members
QAs: 6 members
DevOps: 2 member

Data Analyst / Data Engineer

from 10.2024 to now (10 months)
Part-time project, Дистанційно (IT)

Project: Transformed and optimized the data infrastructure for the Ukrainian subsidiary of a multinational FMCG leader, focusing on enhancing data-driven decision-making, operational efficiency, and automation of analytics workflows. Rebuilt Azure-based data architecture, integrated predictive models into the analytical framework, and delivered real-time insights via a tailored Power BI platform. Developed scalable data models, optimized ETL pipelines, and created interactive dashboards to empower stakeholders—including marketing and supply chain teams—with actionable insights. Ensured governance and compliance for secure handling of sensitive data. Key outcomes included improved monitoring of purchasing trends, customer behavior, supply chain productivity, and revenue growth through predictive analytics and streamlined reporting processes.
Responsibilities:
• Conducted comprehensive analysis of Azure-based data architecture to identify inefficiencies, bottlenecks, and vulnerabilities in ETL processes.
• Designed, developed, and optimized ETL workflows in Azure Data Factory, reducing data processing times by 30% and enhancing real-time reporting responsiveness.
• Migrated legacy tools to a scalable, modern cloud-based infrastructure, ensuring dynamic resource allocation based on demand.
• Built custom Python-based predictive models for FMCG, focusing on customer purchase behavior and supply chain demand forecasting.
• Integrated predictive model outputs into Power BI dashboards, enabling data-driven decisions for marketing, sales, and supply chain teams.
• Achieved over 85% accuracy in predictive model outputs, directly improving forecasting reliability.
• Designed interactive Power BI dashboards for insights into customer behavior, traffic sources, user engagement, and sales trends.
• Enabled real-time filtering and intuitive navigation in dashboards, simplifying self-service analytics for non-technical stakeholders.
• Structured and integrated data pipelines for granular supply chain forecasting, reducing inventory waste by 12% and improving product availability.
• Ensured compliance with GDPR and data security mandates, implementing role-based access controls (RBAC) in Azure.
• Designed secure data handling frameworks for sensitive customer and supply chain data.
• Facilitated cross-functional collaboration to align project deliverables with business goals.
• Delivered training sessions to stakeholders, enhancing their ability to interpret and act on Power BI insights.
Additional info:
Key Achievements:
Reduced manual reporting and data wrangling efforts by 40%, enabling teams to focus more on strategic decisions.
Enhanced operational transparency across the organization with interactive dashboards, enabling non-technical end-users to confidently access real-time data for decision-making.
Improved supply chain efficiency by 12%, reducing inventory loss and improving product availability in high-demand regions.
Achieve

Data Engineering Intern

from 09.2024 to 10.2024 (1 month)
Banking Sector, Дистанційно (Фінанси, банки, страхування)

- Designed and implemented scalable data pipelines using PySpark on Azure Databricks, facilitating ETL workflows for transaction and customer data.
- Collaborated with cross-functional teams to ensure data quality and integrity across various data processing stages.

Junior researcher

from 09.2022 to 01.2023 (4 months)
Department of Information Technology, Kharkiv National University of Radio Electronics, Харків (Освіта, наука)

Project: Cow Health Monitoring System: IoT-Based Livestock Efficiency

Designed an automated health monitoring system using IoT sensors and AI, enabling real-time disease detection and optimized herd management.

- Designed an automated health monitoring system using IoT sensors, enabling real-time disease detection and optimized herd management.
- Developed predictive models to detect early signs of mastitis, ketosis, and reproductive cycle anomalies, reducing veterinary costs by up to 30%.
- Integrated temperature, heart rate, accelerometer, and GPS sensors, improving disease prevention and livestock tracking.
- Built an interactive analytics dashboard, providing actionable insights for farm owners to enhance productivity and decision-making.
- Implemented automated notifications, alerting farmers to critical health changes and necessary interventions.

Education

Kharkiv National University of Radio Electronics

Architectural design of information systems, Харків
Unfinished higher, from 2022 to 2024 (2 years)

Kharkiv National University of Radio Electronics

Information Technology Internet of Things, Харків
Higher, from 2019 to 2022 (3 years)

Additional education and certificates

The University of Pennsylvania's English Language Programs

JUNE 11 – JULY 16, 2023

The Complete SQL Bootcamp: Go from Zero to Hero

01.08.2024
Certificate

Knowledge and skills

• Python
• Django
• Git
• ООП
• HTML
• CSS
• PyGame
• SQL
• NumPy
• Pandas
• GitHub
• PostgreSQL
• Django Rest Framework
• Matplotlib
• Seaborn
• Scikit-learn
• Apache Airflow
• PySpark
• Azure
• Databricks
• Agile
• Data Visualization
• Power BI
• Business Intelligence
• Stakeholder Management
• User Stories
• User Stories & Use Case Development
• Gap Analysis & SWOT Analysis
• Stakeholder Engagement
• Problem Solving
• Critical Thinking
• Presentation
• Knowledge of algorithms of search engines
• APIs and Integration
• BA artifacts documentation
• Business Analysis
• Data Architecture
• Data DevOps
• Data Integration
• Data Preparation
• Data Science
• Data Storage
• Elicitation of information
• Elicitation Techniques
• IoT
• Python Web REST API
• Interactive prototyping
• Writing a user story
• API & Integration Platforms
• Postman

Language proficiencies

• English — above average
• Ukrainian — fluent

Additional information

Motivated and detail-oriented professional with a strong foundation in data analysis and business processes. Hands-on experience i n Python (Pandas, NumPy) and SQL (PostgreSQL) . Skilled in developing ETL/ELT pipelines and data processing algorithms, with experience in data transformation and automation . Proficient in data visualization using Power BI and Matplotlib, and experienced with PySpark and Apache Airflow for workflow automation . Additionally, adept at designing and implementing data solutions in Azure, ensuring efficient integration and processing in cloud environments.


github.com/KostiantynVotinov