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Gleb Mezhanskiy is the CEO and Founder of Datafold, an AI-driven platform designed to modernize data engineering workflows. He focuses on speeding up data platform migrations, automating code reviews, and boosting data quality.Before starting this venture, he worked as a Data Engineer and Product Manager at Autodesk, Lyft, and Phantom Auto, where he led large-scale data initiatives and advanced analytical capabilities within complex organizations.
Gleb obtained his degree at Carnegie Mellon University, which has a reputation for excellence in its technology engineering programs. He acquired a strong background in computer science as well as a deeper knowledge of data modeling, machine learning, and the basics of artificial intelligence, all of which help him develop professionally as both a data engineer and an automation data engineer.
Gleb started his career as a Product Manager at Autodesk, building analytical portals and leading ETL pipeline development.Then he joined Lyft, where he initially worked as a Data Scientist; later, his role evolved to Data Engineer and Product Manager. Gleb contributed to enhancing data infrastructure at the company and led warehouse migrations.
In 2020, Gleb founded Datafold to disrupt traditional concepts in automation of data platforms and create the first truly AI-enabled solution for data engineering teams by using automation and streamlining workflows that are overly complex and time-consuming in data engineering.
Datafold couples AI with code review and trusting for fast, scalable, and efficient AI solutions to produce a completely different process of data migration.
Data Migration Agent (DMA): Datafold uses an AI-powered Data Migration Agent that applies large language models to automate SQL translation, validation, and optimization in the quest to make migration faster, more accurate, and scalable.
AI in Data Science Engineering: Datafold brings AI-driven automation to data engineering by introducing features such as automated Pull Request summaries, root cause analytics for differences in data, and context-aware chat. These tools reduce manual tasks, improve the velocity of code reviews, and ensure data integrity, further accelerating the delivery of pipelines and innovation.
AI Partnership: Datafold partnered with CHG Healthcare to revolutionize data migration by deploying DMA, which uses large language models and validation-driven feedback to automate the translation of MySQL queries to Snowflake, offering seamless, self-improving migrations with flawless data parity.
Data Quality Assurance: A global credit rating agency improves data quality and confidence in its deployments by integrating Datafold's data diffusion into their CI/CD pipeline. It prevents any data-related issues and offers reliable AI-driven decision making.
Under Gleb's management, Datafold has hastened data platform migrations, significantly increasing productivity and reducing costs. He pioneered automated code reviews and proactive data quality monitoring, and earned recognition in the AI and data engineering space. His work bridges the modern platforms with legacy systems, enabling businesses to leverage AI more effectively and maximize the value of their data operations.
There are no public personal controversies known involving Gleb Mezhanskiy. He is known for his professional work as the CEO and founder of Datafold.
