Sr Data Engineer / Architect

• Architected and implemented a structured three-layer enterprise datawarehouse model in Azure, establishing a robust and scalable data environment.
• Migrated legacy stored procedures to streamlined Azure Data Factory (ADF) pipelines, enhancing data processing efficiency.
• Introduced comprehensive Git-based source control, ensuring rigorous version management and collaborative development practices.
• Established automated data quality frameworks with proactive monitoring and alerting, significantly improving data integrity and reliability.
• Spearheaded the design of an enterprise data model, enabling a self-service BI environment that empowered business teams with advanced analytics capabilities.
• Developed and delivered insightful dashboards and reports in Power BI, transforming raw data into actionable business insights.

• Played a dual role as Data Engineer and Solution Architect, leading the reengineering of data marts within the Road Assistance department to align with the strategic migration to the Snowflake environment.
• Directed the reverse-engineering of the Customer Demand List (CDL) to optimize performance, exhibiting a strong blend of technical proficiency and architectural oversight.
• Departed post-implementation phase due to budgetary constraints, after ensuring a robust foundation for the department’s data operations.

Worked for 8 years on contracting basis for numerous organizations in the Netherlands and delivered high-quality service for improving clients’ data structure, information systems and business management.

Data Engineer & Business Intelligence Consultant at the VisionWorks team participating in several projects for ING Domestic Retail Bank, Rabobank Corp., SPIL GAMES LLC and UWV.

Implementation of the BWise risk management product suite at various organizations and companies.

Built up a reporting system from scratch.

• Reverse-engineered (Oracle DI, SQL Server) pipelines to Snowflake SQL.
• Re-implemented as data mart views in Snowflake and automated the orchestration and feed of solutions’ pipelines through Fivetran.
• Fulfilled the roles of a tech lead and liaison between business units and the tech support during the migration projects.

• Migrated data warehouse for user activity tracking and product engagement from Redshift to Snowflake loaded by Loome data streams.
• Optimized performance SnowSQL scripts resulting in 40% cost reduction in data processing expenses for the company.
• Introduced automated data quality testing scheme to track and report on anomalies based on recent past record counts, and calendar-based exceptions.

• Enabled marketing analytics by loading advertising data into Snowflake using data pipelines built with Apache Airflow, Python, and SnowSQL.
• Created python-based solution for automated data quality verification and alerting.
• Re-engineered existing data warehouse to a unified enterprise model to eliminate redundancy and promote reusability of well-defined conformed dimensions across department-specific data marts.
• Provided guidance and mentorship to newly onboarded remotely based team members to decrease time to productivity.