Peter Galenski
About Peter Galenski
Peter Galenski is a Senior Systems Analyst at Massmutual Financial Group, specializing in Informatica tools and data quality solutions.
Current Role at Massmutual Financial Group
Peter Galenski is a Senior Systems Analyst currently working at Massmutual Financial Group in Springfield, Massachusetts, United States. In his role, he supports a suite of Informatica tools including PowerCenter, Data Quality, Data Explorer, B2B, MetaData Manager, and Master Data Management. He specializes in Address Validation using MelissaData and AddressDoctor, ensuring data integration and standardization across various platforms. His experience includes working with both Agile and Waterfall methodologies to develop robust solutions for the company's needs.
Previous Experience at Hewlett-Packard
Peter Galenski spent 16 years at Hewlett-Packard as an Electronic Technician from 1980 to 1996 in San Jose, California, United States. During his tenure, he gained extensive experience in electronic systems and technology, providing a strong foundation for his later roles in systems analysis and data quality management.
Educational Background
Peter Galenski earned a Bachelor of Science in Business from Westfield State University. His educational background provided him with a comprehensive understanding of business principles, which he has effectively applied in his various technical roles throughout his career.
Certifications and Specializations
Peter Galenski is certified in Informatica Data Quality, a testament to his expertise in data management and validation. He specializes in Address Validation using industry tools like MelissaData and AddressDoctor. His skill set also includes familiarity with Data Masking and Data Subsetting tools, adding layers of data protection and privacy to his projects.
Experience in Solution Development
Peter Galenski has extensive experience with Agile and Waterfall methodologies for solution development. He has standardized data for various insurance product lines and constructed a matching process used for marketing purposes. His approach ensures that data is consistent, reliable, and ready for use across multiple applications and systems.