Samu is a solution-oriented senior BI developer who has worked with Microsoft's BI stack since 2016. His strengths include broad experience across the data-to-decision pipeline — from data engineering to visualizations — delivering solutions for large organisations, and the ability to translate business needs into sustainable technical solutions.
Projects
Power BI Lead | Yleisradio Oy
08/2022 – 12/2025
- Lead developer for the Data Democratization project (Power BI)
- Lead developer for the Fabric environment: practices, administration and data modelling
- Design and optimization of large-scale data models (web analytics, customer data, social media data)
Technologies: SQL, Power BI data modelling, Snowflake, Redshift, Microsoft Fabric, GitHub
BI Lead | Keusote
02/2022 – 05/2025
- Managed the architecture of organisation-wide Power BI environment in a Premium setup
- Main developer for multiple datasets and responsible for technical solutions
- Data modelling and reporting for end users
Technologies: SQL, Power BI, DAX, Snowflake
Data Engineer | Destia Oyj
05/2018 – 11/2021
- Project reporting: extensive data models for financials and forecasts
- Site reporting: analysis, visualization and readiness reporting for IoT data
- Primary responsibility for Power BI architecture and stakeholder collaboration
Technologies: SQL, SSAS, Power BI, DAX, TimeXtender
Data Engineer | Private healthcare
05/2018 – 06/2019
- Built visual reports (Health data, Dental care)
- Concept modelling, ETL tasks and maintenance
Technologies: SQL, Qlik Sense, Qlik View
Data Analyst | Posti Group Oyj
08/2016 – 04/2018
- ~80% SSAS and Power BI tasks
- ~20% SSRS, SSIS, MS MDS, MS SQL, Oracle ETL
- Training, specifications, workshop facilitation, and project management for transitioning reporting from Qlik and SAP BO to Microsoft Power BI and SSAS
Technologies: SSAS, Power BI, SSRS, SSIS, MS MDS, MS SQL, Oracle
Publications
The Importance of Data Modelling with BI Tools (Master's thesis)
2022
The thesis focused on minimizing technical debt and best practices in Power BI environments.
https://lutpub.lut.fi/handle/10024/163805
https://lutpub.lut.fi/handle/10024/163805