Snowflake | Azure | Synapse | Sql | Python | Spark | PowerBi | Lead Data Engineer with expertise in designing, building, and implementing data solutions for Snowflake and Data Factory platforms.Passionate about using hands-on development and agile methodologies (Scrum) to deliver data architecture solutions.Current Lead Data Engineer for an organization's Snowflake and Data Factory data platform, with previous experience driving the assessment and migration from Synapse.Strong skillset in data warehousing, ETL processes, Python, SQL, Spark, and ADF.Comfortable taking on challenging tasks across the entire data engineering lifecycle.Experience collaborating with stakeholders to understand business requirements and translate them into technical solutions.Contributing to the evolution of a robust and scalable data architecture, staying current with emerging technologies, and guiding the professional development of colleagues within the data team.

Creating value through analysis and dialogue. I bring people, data and technology together with a focus on creating value for the business.Main responsibilities are developing, deploying, and maintaining BI interfaces, that educate, inform and engaged business partners on key metrics and performance measures.The toolbox I use in my daily work is Power BI, Dax, Data Cube, SSIS, SQL, Excel, Microsoft Flow and Lean.

Working with machine learning, computer vision and data-pipeline as part of FPM. Mostly focusing on extracting, transforming and loading big data (video + pictures) as the foundation for the ML-algorithms.Other tasks; homepage, SEO and accounting.

Implementing a new BI-system and different controlling tasks.

Analyzing financial statements with a focus on financial strength and optimization.

Using the rules set by IFRS 9 to calculate expected credit loss on loans.

Using the rules set by IFRS 9 to calculate expected credit loss on loans.