Mykola Zavada

Data Engineer @ Yieldstreet

About Mykola Zavada

Mykola Zavada is a Data Engineer with extensive experience in software development and data management. He has worked for various companies, including Yieldstreet and RD Legal Funding LLC, and has a Master's Degree in Applied Mathematics and Computer Information Systems from Sumy State University.

Work at Yieldstreet

Mykola Zavada has been employed at Yieldstreet as a Data Engineer since 2020. In this role, he focuses on developing and maintaining data pipelines and architectures that support the company's financial services. His work involves integrating data from various sources and ensuring data consistency across platforms. Zavada's contributions are essential to the company's data-driven decision-making processes.

Previous Experience in Data Engineering

Before joining Yieldstreet, Mykola Zavada worked as a Senior Data Engineer at RD Legal Funding LLC from 2018 to 2020. He was responsible for creating Python modules for web scraping, allowing the extraction of data from public sources that lacked APIs. His role involved implementing data pipelines that integrated data from various sources, ensuring that the data was processed accurately and efficiently.

Career Background in Software Development

Mykola Zavada has a diverse background in software development. He worked at Art. Lebedev Studio as a Full Stack Developer from 2004 to 2006 and at World Web Studio for five months in 2003. Additionally, he served as the XQuery Lead Developer at Applied Relevance from 2013 to 2014. His experience spans various programming languages and technologies, contributing to his expertise in data engineering.

Education and Expertise

Mykola Zavada earned a Master’s Degree in Applied Mathematics and Computer Information Systems from Sumy State University, where he studied from 1998 to 2003. His educational background provides a strong foundation for his work in data engineering and software development. Zavada has developed advanced technical skills, including creating a flexible fuzzy match library for Python, which enhances search accuracy.

Database Design and Implementation Skills

Zavada has demonstrated expertise in database design and implementation. He designed and implemented a PostgreSQL database architecture to efficiently store aggregated data from multiple providers. His work includes developing complex data pipelines that involve transformations and aggregations, ensuring the consistency and reliability of data across different systems.

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