About

Alexey Sanko is a highly skilled Data Engineer with over 14 years of experience in the industry. He is currently working at Dropbox as a Data Engineering Tech Lead, where he is responsible for defining OKRs for the team in the quarter and annual prospective, aligning progress and plans with other Data Engineering teams and Data Infra, and certifying `gold` (trustable data) pipelines certification process. Alexey is an expert in Hybrid Hadoop+Snowflake seamless data lake architecture and has contributed significantly to the internal Airflow libraries using Python and Bazel. In his previous role as a Senior Data Engineer at Dropbox, Alexey played a critical role in developing core pipelines for providing consumers with valid and trustable data. He was responsible for gathering requirements, data investigation, and building SQL-based pipelines. Alexey also established core team processes and tools, including convention development, on-call and SLA establishing, defining team values, SQL format tool, unit and integration tests for Airflow pipelines, and data validation mechanisms. He mentored and interviewed data modeling candidates and built a customer-oriented team that focused on delivering high-quality services to internal customers. Alexey holds a Master's degree in System Analysis/Analyst from Peter the Great St. Petersburg Polytechnic University. He is highly skilled in Data Engineering, Senior Software Engineering, infra, SQL, Snowflake, Hadoop, Apache Airflow, Big Data, Python, and Integration. Alexey is passionate about Big Data and enjoys working with it. He describes it as something he knows, loves, and can do effortlessly. Overall, Alexey Sanko is a highly experienced Data Engineer with a passion for Big Data. He has a proven track record of delivering high-quality services to internal customers and building customer-oriented teams. Alexey is a valuable asset to any organization that requires his expertise in Data Engineering.