07/16/2025 updated


100 % available
Data Architect, Data Engineer (Azure GCP)
Banska Bystrica, Slovakia Odessa State Polytechnic University
As an Data Architect/Engineer with over 8 years of experience, I specialize in designing and implementing robust data solutions on Microsoft Azure and Google Cloud Platform environments. My expertise lies in Azure cloud architecture, ETL/ELT pipelines, and DevOps practices. I am a Databricks Certified Associate Developer for Apache Spark 3.0 and a Microsoft Certified Azure Data Engineer Associate.
My professional experience includes leading end-to-end data projects across various industries, including pharmaceutical, retail, and energy. I have a strong background in using core Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and Azure Data Lake Storage. My skills also extend to other technologies like Snowflake and SAP HANA.
I am proficient in Python and PySpark for developing and optimizing data pipelines, and I have a proven track record of reducing operational costs and improving data processing performance. With hands-on experience in Azure DevOps, Git, Terraform, and CI/CD pipelines, I am well-equipped to deliver automated and efficient data solutions.
My professional experience includes leading end-to-end data projects across various industries, including pharmaceutical, retail, and energy. I have a strong background in using core Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and Azure Data Lake Storage. My skills also extend to other technologies like Snowflake and SAP HANA.
I am proficient in Python and PySpark for developing and optimizing data pipelines, and I have a proven track record of reducing operational costs and improving data processing performance. With hands-on experience in Azure DevOps, Git, Terraform, and CI/CD pipelines, I am well-equipped to deliver automated and efficient data solutions.
Languages
EnglishFluentRussianNative speaker
Project history
Solution design including security, DevOps, design of data pipelines templates; developing proof of concepts, train and support development teams.
Tools and technologies:
Tools and technologies:
- Azure Synapse
- Azure Data Lake
- Azure Logic App
- Azure DevOps
Design and implementation of data platform cloud infrastructure; design and development of data ingestion and transformation pipelines; CI/CD pipelines implementation.
Tools and technologies:
Tools and technologies:
- Azure Databrikcs
- Databrikcs Delta Lake
- Azure Data Lake
- Azure Data Factory
- Azure DevOps
- dbt
Code review and improvement, metrics calculations development, CI/CD pipelines implementation
Tools and technologies:
Tools and technologies:
- Azure Databricks
- Databricks Delta Lake
- Azure Data Factory
- Azure DevOps