Ari Koponen

Data Architect @ Solita

About Ari Koponen

Ari Koponen is a Data Architect with extensive experience in data quality management and master data management. He has worked at various organizations, including Solita, IBM Global Business Services, and the University of Helsinki, and possesses strong skills in multiple coding languages and advanced analytics tools.

Work at Solita

Ari Koponen has been employed at Solita as a Data Architect since 2013. In this role, he focuses on data architecture, leveraging his extensive experience in data quality management and master data management. His work involves utilizing cloud technologies and emphasizing data virtualization and automation. Koponen's expertise contributes to the development of data solutions that meet the evolving needs of clients in the Helsinki area.

Previous Experience in Data Management

Before joining Solita, Ari Koponen worked at IBM Global Business Services as a Solution Architect in Business Analytics and Optimization from 2010 to 2013. He also held the position of Senior Consultant in Information Management at Platon from 2008 to 2010. His career began at the University of Helsinki, where he served as a Researcher from 1995 to 2001. These roles provided him with a solid foundation in data management and analytics.

Education and Expertise

Ari Koponen studied at the University of Helsinki, where he earned a Master's degree in Mathematics from 1990 to 1995 and a Licentiate of Philosophy from 1996 to 1998. His academic background supports his expertise in advanced analytics and data science. He is proficient in various coding languages, including TSQL, PL/SQL, Python, and JavaScript, and has experience with a wide range of ETL tools and modeling techniques.

Technical Skills and Tools

Ari Koponen specializes in data quality management and master data management. He is skilled in using advanced analytics tools such as Knime, SPSS, Rapid Miner, and R. His technical skills extend to modeling techniques like 3NF, Data Vault, and Dimensional modeling, utilizing tools such as ER Studio and Oracle Data Modeler. Koponen has experience with multiple databases, including Oracle, SQL Server, and MongoDB, and is adept at employing cloud technologies.

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