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Vladyslav Chyhura – Data Engineer / Software Engineer

Summary
Data Engineer with 5.5+ years of experience in IT, including 4 years in data engineering
roles. Focused on building scalable and reliable data pipelines using cloud platforms and
modern ETL tools. Comfortable working with both structured and semi-structured data
and collaborating with cross-functional teams in Agile environments. Continually
developing skills in cloud data architecture and analytics solutions.

Certificates
• Microsoft Certified: Fabric Data Engineer Associate
• Microsoft Certified: Azure Fundamentals
• Databricks Academy Accreditation – Lakehouse Fundamentals (2024)
• Apache Airflow Fundamentals

Work Experience
EPAM Systems — Data Engineer
Client: Global FMCG brand (beverage sector)
Mar 2024 – Present
- Designed, built, and optimized ETL pipelines using Azure Databricks, Spark and Azure
- Configured data ingestion workflows via Azure Data Factory (ADF)
- Developed Databricks notebooks with PySpark and Azure SQL for processing and
transforming raw data into business-ready formats (mostly for PBI reporting)
- Ensured data quality and reliability in production environments, developed and tested in
dev env
- Collaborated with Solution Architects, Business Analysts, and Power BI Engineers in a
Scrum environment
Tools & Technologies: Azure Databricks, ADF, Azure SQL, Delta Lake, Storage Accounts,
Azure DevOps, SQL Server Management Studio

EPAM Systems — Key Developer / Data Engineer
Client: UK Fintech Services Provider
Jul 2021 – Feb 2024
- Managed multiple data migration cycles across 12 sites
- Built and configured data migration pipelines
- Automated pipelines with conversion and mapping scripts
- Performed testing and QA across all data transformation stages
- Developed couple of reports using Looker Studio
Tools & Technologies: GCP (BigQuery, Looker), Python, GoLang, YAML, XSLT, JSONPath,
MongoDB, MySQL, Apache Solr, Docker, GitLab, Snowflake, DBT, Apache AirFlow

PwC (PricewaterhouseCoopers) — BSS Specialist
Jul 2020 – Jun 2021
- Applied Agile methodologies and managed code reviews using Azure DevOps
- Optimized business processes with Google Tools and Python scripts
- Developed and supported SSRS reports and Power BI dashboards
- Created and maintained SSIS-based ETL processes
- Authored documentation for internal systems and workflows
Tools & Technologies: Azure DevOps, Python, SQL Server (SSRS, SSIS, SSAS),
PostgreSQL, OLAP cubes, Power BI, Google Workspace (Apps Script, Sites, Sheets, Docs)

PwC (PricewaterhouseCoopers) — Data Analyst
Dec 2019 – Jun 2020
- Analyzed and transformed large datasets to support audit processes
- Processed data using Python, Excel, and Alteryx
- Loaded and transformed data in SQL Server
- Delivered reporting solutions using internal platforms (KlikPortal)
Tools & Technologies: Python, Alteryx, MS SQL Server, Excel, KlikPortal, iPower

Lviv Polytechnic National University (educational projects) — Business Analyst / Developer
Sep 2018 – Dec 2018
- Identified system requirements and conducted business needs research
- Developed a Python-based BPM (tempo) detection tool for musical compositions
Technologies: Python (NumPy, Matplotlib, Librosa), UML, MS Project
Education
Lviv Polytechnic National University
Bachelor’s & Master’s Degree in System Analysis and Data Science
Faculty: Computer Science and Information Technology