Paul Trak
About Paul Trak
Paul Trak is a Data Engineer with extensive experience in data management and business intelligence. He has worked for Dycom Industries, Inc. since 2018 and previously held positions at MSH Talent Solutions and Reverse Mortgage Solutions, Inc.
Work at Dycom Industries
Paul Trak has been employed at Dycom Industries, Inc. as a Data Engineer since 2018. His role involves managing and analyzing data to support business operations. He has contributed to various data engineering projects that enhance the company's data capabilities. His tenure at Dycom Industries spans over six years, during which he has developed expertise in data integration and visualization.
Previous Experience at MSH Talent Solutions
Prior to his current position, Paul Trak worked as an SQL BI Developer consultant at MSH Talent Solutions for seven months in the Miami/Fort Lauderdale area from 2017 to 2018. In this role, he focused on business intelligence solutions, leveraging SQL to support data-driven decision-making.
Experience at Reverse Mortgage Solutions
Paul Trak served as an SQL BI Developer at Reverse Mortgage Solutions, Inc. from 2015 to 2017. His responsibilities included developing and optimizing SQL queries to support business intelligence initiatives. He worked in Palm Beach Gardens, FL, during his two-year tenure at the company.
Education and Expertise
Paul Trak studied at Moscow University, where he earned a Master of Science (MS) in Computer Science and Mathematics. He also attended S.Y.R.I.T Computer School, achieving another master's degree. His educational background provides a strong foundation for his work in data engineering and business intelligence.
Technical Skills and Contributions
Paul Trak has implemented Slowly Changing Dimension (SCD) Type 1 and Type 2 methodologies to manage historical data in data warehouses. He led the migration of SQL Server Integration Services (SSIS) from version 2008 to 2017, improving data integration processes. Additionally, he has created ElastiCubes and Interactive Dashboards using Sisense BI analytics software and developed Power BI reports by importing data from various sources, including MS SQL Server and Azure SQL DB.