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Big data engineer
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41 University Drive, Suite 202
Newtown, PA 18940
267 759 9000 Phone
267 759 8989 Fax
www.epam.com
ROMAN DOROSH – SOFTWARE ENGINEER
SUMMARY
• Software Engineer with more than 2 years of experience (software development, testing,
automation)
• Advance experience in Python development
• Deep exprerience in Flask and Django Web Frameworks
• Experience in Git/Github/Bitbucket/Gitlab
• Cloud experience with Azure
• Working with Azure SDK and API
• Working with Azure Data Factory and Azure DevOps
• Tuning the pipelines for migration huge (> 1 TB) data source
• Experience with SQL (MySQL, PostgreSQL)
• Experience with NoSQL (MongoDB, Redis)
• Experience with BigData environment
• Hadoop
• Kafka
• Spark (PySpark) environment (Spark SQL, Spark Streaming)
• HDFS
• MapReduce
• Experience in the development of high-availability, low-latency and high-performance
application
• Ability to write clean and reusable code
Confidential | August, 2025 1
• Ability to write complex and optimized SQL queries
• Experience with Docker and Kubernetes
• Basic Java 8 knowledge
• Deep knowledge with Functional and OOP programming concepts
• Deep experience with agile development methodologies
• Working in multicultural environment
• Ability to learning and applying new concepts with lighting speed
CERTIFICATES
• EPAM: AI Literacy Program, 2024
• Microsoft: Microsoft Certified: Azure Data Engineer Associate (DP-203), 2023
SKILLS
Academic Disciplines
• Humanities: Ukrainian, English
• Applied Sciences: Big Data, REST, Object-oriented Programming, Neural networks, Functional
Programming, Algorithms & Data structures, Software Development
Consulting Practice
• Strategy Consulting: Master Data Management
Engineering Practices
• Cloud: Cloud
• Data & Analytics: DWH & DB Concepts, Cloud Concepts for Data Engineering, SQL Azure, Cloud
Data Services, Cloud High Availability and Disaster Recovery for Data, Data Preparation, SQL for
Data Analytics, Advanced Data Security, Dataflow Orchestration & Monitoring, DB
Administration, Data General, ETL/ELT Solutions, Data Provisioning, Data Software Engineering
• Advanced Technology: Python Parallel Programming, Python Asynchronous Programming, Java
Software Design, Python.Core, Python Exceptions, Python OOP, Algorithms, Python Testing,
Python Functions
• Quality Engineering: Unit Testing
Industries
• Insurance: Insurance
• Financial Services: Cryptocurrency & Blockchain [FinTech]
Managerial
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• General Management: Agile
Technologies
• Platforms: Azure DevOps, Azure SQL Microsoft, Azure Data Lake Storage, Azure Stream
Analytics, Microsoft Azure, Azure Databricks, Azure Event Hubs, Azure Data Share, Docker,
Azure Integration, Azure Pipelines, Azure Key Vault, Azure DevOps Services, Azure Repos
• Data: Databases, Spark Streaming, Azure SQL Database, MySQL, Apache Parquet, Azure Synapse
Analytics, Databricks, PySpark, Python Data Science Ecosystem, Redis, Apache Kafka, MongoDB,
PostgreSQL, Apache Cassandra, Azure Data Factory, Apache Hadoop MapReduce, Azure Blob
Storage
• IDEs: Jupyter Notebook, JetBrains PyCharm
• Operating Systems: Linux
• Libraries: pip, NumPy
• Computer Languages: Java 8, SQL, Python, Python Web Servers, Prolog, HTML
• Frameworks: Apache Spark, Django, Flask, Apache Hadoop, Pytest, Django Rest Framework,
Python Tools and Utilities, Deep Learning Frameworks
• Solutions: Elasticsearch, Celery, Version Control Systems, Microsoft Word
• Tools: Python Test Automation Frameworks
• Standards: REST API, Git
WORK EXPERIENCE
Jan-2024 - Till now (Aug-2025) - EPAM Systems, https://www.epam.com/
Project Roles: Developer
Client: FirstService Residential
Client Description: EV - Real Estate
EPAM Project Description: The project is about creation of Data Lake in Azure which will be able to
migrate data from on-prem databases. Also Data Lake will be able to work with MDM products like
Profisee and Purview
Responsibilities:
• 1. Developed metadata and bronze layers for Data Lake
• 2. Developed Databricks Workflow Pipelines for ingestion data from on-prem to Data Lake
• 3. Developed Databricks Workflow Pipelines for automated testing framework
• 4. Optimized speed of pipelines executions (up to 2.5 speedup)
• 5. Created wheel package for common functions
Tools and Technologies:
Confidential | August, 2025 3
• YAML, SQL, Python, PySpark, Azure DevOps, Azure Data Lake Storage, Azure Databricks,
Microsoft SQL Server, Azure SQL Database
Team:
• Dev Team: 3 members + 1 Architect
• DevOps Team: 2 members + 2 members from client
• Business Analyst team: 3 members
• QA team: 1 member + 3 members from client
• Managers team: 2 members
Feb-2023 - Jan-2024 - EPAM Systems, https://www.epam.com/
Project Roles: Key Engineer, Developer, Key Developer
Client: Everest Re
Client Description: FS - Insurance
EPAM Project Description: Staffing support for ERP Initiative
Responsibilities:
• Create Azure Databricks notebooks for transforming the curated zone common data products
into curated zone specific data products
• Building GL products(extracts) from Source systems like EVCAN (Everest Canada)
• Creating SQL scripts for generating metadata configuration for Azure Data Factory pipeline and
notebook execution
• Creating the Synapse View and External Tables according to mappings
Tools and Technologies:
• SQL, Python, PySpark, Databricks, Databricks, Azure SQL Database, Azure DevOps, Azure Data
Lake Storage, Azure Data Factory, Microsoft SQL Server, Azure SQL Database
Team:
• Dev Team: 4 members
• Business Analyst Team: 4 members
• QA Team: 1 member
Oct-2022 - Jan-2023 - EPAM Systems, https://www.epam.com/
Project Roles: Big Data Developer, Analyst
Client: Everest Re
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Client Description: FS - Insurance
EPAM Project Description: Data Hydration Team for Reinsurance
Responsibilities:
• Migration data sources from on-prem and on cloud (Azure) SQL Server database to ADLS raw
zone using Azure Data Factory
• Investigation and collecting data source statistics
• Automating migration SQL queries with Python script
Tools and Technologies:
• Python3, plain SQL, Azure cloud services, Azure services (Azure Data factory, Azure DevOps,
Azure Key Vault, Azure Data Lake Storage Gen 2, Azure SQL Server), On-prem MS SQL Server,
Azure MS SQL Server
Team:
• Dev Team: 3, including 1 DevOps
• Business Analyst Team: 1
Nov-2021 - Jan-2022 - iOLAP, https://iolap.com/
Project Roles: Developer, Data Analyst
Client: iOLAP
Project Description: Automation of manual fraud detection in US banking sector
Responsibilities:
• Developing tools to automate manual fraud analytics processes
• Designing of system architecture in early stage
• Being responsible for developing and supporting cloud infrastructure (AWS)
• Developing documentation for new developers
• Implementation and designing of new ETL solutions
• Developing code quality (unit testing)
• Writing complex SQL queries
• Writing Terraform scripts
• Daily communication with members with other teams
Tools and Technologies:
• Python3 (requests, pytest, boto3)
• Complex SQL queries
Confidential | August, 2025 5
• Data Science
• Scikit-Learn
• Numpy
• Pandas
• Matplotlib
• XGBoost
• Git/Github
• Docker/docker-compose;, Docker, Terraform, AWS services (Lambda, EC2, S3, IAM), DynamoDB,
Snowflake, PostgreSQL, MySQL
Team:
• Developers: 4
• QA: 2
• DevOps: 1 member
Aug-2021 - Nov-2021 - Uvik Software, https://uvik.net/
Project Roles: Key Developer, Analyst
Client: nOps
Project Description: Web application used for delivering AI-powered solutions that
help rapid-growth companies build, manage, and operate a well architected AWS and Azure
infrastructure
Responsibilities:
• New features implementation (rules for managing cloud statistics)
• Maintaining and improving existing codebase
• Develop project documentation
• Making architecture decisions
• Implementation of complex user stories/tasks
• Processing complex data
• Unit Testing
• Daily communication with multicultural team
Tools and Technologies:
• Python3 (requests, pytest, redis, celery)
Confidential | August, 2025 6
• Docker/docker-compose
• Django
• ElasticSearch
• Git/Bitbucket, Black, isort, PostgreSQL, MySQL, Redis
Team:
• Dev Team: 8 devs, 3 QA, 1 DevOps
Sep-2018 - May-2021 - Precarpathian National University, https://pnu.edu.ua/en/
Project Roles: Backend Developer, Student, Researcher
Client: Precarpathian National University
Project Description: - Creating multiple projects from scratch
management system for university like simple version of Google classroom)
university schedule
plagiarism search using blockchain technology
Responsibilities:
• Creating projects from scratch
• Unit and stress testing
• Developing and deploying ML models
• Research in data science field (creating new models)
• Making demos of existing project
• Research in complex fields like blockchain and cryptography
• Working in the team
• Participating in the international project including
• Making business plan and presenting to stakeholders (Lodz government and Lodz businessmen)
Tools and Technologies:
• Python3, Django, Flask, Java, JavaScript, Ruby, Scikit-learn, Heroku, Docker/docker-compose,
PyTest, Git/Github/Gitlab, Kaggle, Gitlab CI/CD, MySQL, MongoDB, PostgreSQL
Team:
• 1 Dev
EDUCATION
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Name of the Education Establishment: VASYL STEFANYK PRECARPATHIAN NATIONAL UNIVERSITY
Faculty/College: Faculty of Mathematics and Computer Science
Department: Information Technology
Specialty: Software Engineering
Degree (diploma): Bachelor
Name of the Education Establishment: VASYL STEFANYK PRECARPATHIAN NATIONAL UNIVERSITY
Faculty/College: Faculty of Mathematics and Computer Science
Department: Information Technology
Specialty: Quality and Security of Software Products
Degree (diploma): Master
Confidential | August, 2025 8
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