Independent freelancer delivering data platforms and BI solutions for the DACH and Benelux regions. Typically 1-2 concurrent engagements. Rebuilt data infrastructure in BigQuery warehouse and dbt models to enable natural language analytics via Veezoo.

• Redesigned dbt models integrating Shopify, and Google Ads via Airbyte
• Implemented validation and quality testing to surface and resolve structural issues
• Delivered validated reporting for 7 business KPIs within a 10 week timeline

Built green eld data pipeline for tool metadata normalization. Per request by the client returned to lead production delivery.

04/2025 ? 09/2025: Phase 1 - Proof of Concept

• Designed ingestion pipelines in Azure Data Factory and Databricks for multi vendor tool metadata with heterogeneous formats
• Reduced ingestion time by 95% reduction from 12 hours to 30 minutes by incremental ingestions, parallelization and dynamic mapping optimization

01/2026 ? 02/2026: Phase 2 - Production Delivery

• Returned at client request to transform PoC into production-ready solution
• Re-architected and modularized Python codebase; delegated tasks across team
• Delivered end-to-end pipeline enabling structured material ID output for business use

Embedded in enterprise data team delivering Snowake/dbt warehouse on Azure

• Translated business logic into warehouse models in Snowake/dbt
• Led refactoring of legacy SQL scripts, reducing technical debt and simplifying onboarding
• Developed dbt tests with Jinja aligned with data governance standards
• Created overviews for the pipeline orchestration via Airflow

• Marketing data integration: Klaviyo automation work ows, Zapier pipelines, SharePoint reporting.

Built data platform foundations for marketing and sales analytics on Azure/Databricks. This included introducing version control, warehouse architecture, and BI layer where none existed.

• Established Git work ows and medallion architecture (bronze/silver/gold) as first structured data practices for the team
• Cut daily batch processing from 6 hours to 1,5 hour for Adobe Analytics web data ingestion by migrating to PySpark, incremental ingestion, and partitioning in delta tables
• Optimized Azure Data Factory orchestration for API-based ingestions (Adobe Analytics, Amazon Retail/Sales, Marketo)
• Built data models serving Power BI dashboards; contributed DAX development
• Developed a POC to manage Adobe Experience Platform object management using the AEPP python module

Sole engineer responsible for full rebuild of brown eld data warehouse. Established data engineering standards for the organization.

• Designed Snowake datawarehouse architecture from scratch: medallion structure, dbt models, Air ow orchestration
• Built Power BI dashboards for operations and data quality monitoring
• Automated infrastructure deployment with Terraform on Azure
• Reduced daily ingestion time by 35%; simpli ed pipeline complexity for maintainability

Completed intensive BI/data engineering masterclass, then delivered continued to independently deliver data warehouse and BI solutions for enterprise clients. Independently owned data warehouse and reporting for global cocoa supply chain tracking involving 3 countries.

• Built and maintained Hadoop-based data warehouse with complex logistics modeling
• Translated country-speci c supply chain logic into data models
• Developed Tableau dashboards for sustainability and traceability reporting

Completed intensive BI/data engineering masterclass, then delivered continued to independently deliver data warehouse and BI solutions for enterprise clients. Expanded enterprise PostGreSQL data warehouse and delivered BI layer for airline operations.

• Extended existing data warehouse with new subject areas
• Built Power BI data models and dashboards
• Reduced code complexity by 30%

• Con gured and implemented changes within an OTAP GIS environment
• Visualised location-bound data
• Improved data quality together with the customer (data cleansing)