Position: Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 2.5


As a highly skilled Data Engineer with a solid background in Data Analysis and Python Development, I possess a unique combination of technical expertise and industry experience. My proficiency in Python and SQL, in addition to hands-on experience with various tools and technologies such as Spark, AWS, Azure, Hive, MongoDB, Databricks, Snowflake, and PowerBI, enables me to effectively design, develop and implement data pipelines and business intelligence solutions.

I have a proven track record of success in building efficient and reliable ETL pipelines using Azure Data Factory, AWS and other tools, as well as in implementing robust business intelligence solutions using Power BI, SSRS, and dbt. I have completed the Google Professional Data Analytics course and am currently preparing to obtain Cloud certifications in AWS and GCP, further demonstrating my commitment to staying current with the latest industry trends and technologies.

I am an ambitious, results-driven professional who is passionate about leveraging data to drive business growth and success. I am confident that my expertise and experience make me an ideal candidate for any data engineering role and I am excited to contribute my skills to help organizations achieve their data-driven goals.