Alexander Saykov is a skilled data engineer with extensive experience in developing and optimizing data processing pipelines. At Mars, from August 2023 to January 2024, Alexander created ETL pipelines using Azure Databricks, managed large datasets, and implemented quality control measures in ETL processes. Prior experience includes serving as a lead data engineer at Cinimex, where Alexander designed data warehouses and scheduled data transfers, and as a data engineer at Mad Devs, focusing on ETL development for AI-driven projects. In the role of senior data engineer at PepsiCo, Alexander led a team, providing mentorship and enhancing data processing efficiency. Educational credentials include training in data engineering and big data from Practicum by Yandex and New Professions Lab.
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