Soest, Utrecht, Netherlands
I design and build scalable data platforms. Freelance Data Platform Architect specializing in Snowflake, dbt, Airflow, SQL, and Python. I take ownership from raw data ingestion to analytics-ready models and reporting layers. Focus areas: • End-to-end data platform architecture • Structured data modeling (STA → DWH → DM) • Automated, production-grade pipelines • Performance optimization and cost-aware design • Rebuilding fragmented reporting into centralized warehouses I work infrastructure-first. Clean models. Testable logic. Maintainable systems. Let’s build something solid.
I architect, build and operate production-grade data platforms end-to-end — from raw extraction to warehouse modeling and BI delivery. Client: KnowV8 (US – SaaS Reporting) • Rebuilt manual Excel reporting into a Snowflake-based warehouse. • Designed layered dbt architecture (STA → DWH → DM → RPT) with clear grain separation. • Engineered a Python-based Ajera (SQL Server) ODBC connector exporting incrementally to S3 (Parquet, chunked extraction). • Implemented controlled S3 → Snowflake loading via dbt macros. • Built snapshot models for historical tracking (projects, transactions, VEC changes). • Containerized Airflow in Docker on AWS EC2 to orchestrate ingestion and transformation. • Refactored fact tables to atomic grain for Power BI drill-through and multi-tenant scalability. • Migrated legacy PostgreSQL pipelines to Snowflake for cross-client standardization. • Established surrogate key strategy, incremental patterns, and data quality checks with alerting. Tech: Snowflake, dbt, Airflow (Docker), AWS (S3, EC2), Python, ODBC, Power BI ⸻ Client: Optium Capital (US – Financial Services) • Designed and deployed AWS-based reporting infrastructure. • Built Selenium-based portal scraper (CAPTCHA handling) for automated data ingestion. • Engineered Excel ingestion pipelines into PostgreSQL (Neon) with controlled schema handling. • Automated large SharePoint uploads (20k+ rows) via Microsoft Graph API with retry and resume logic. • Developed nightly ETL workflows with structured logging and failure visibility. • Consolidated scraper, Excel, and correspondence data into a unified ownership dataset. • Replaced manual Dropbox workflows with controlled, reproducible pipelines. Tech: PostgreSQL (Neon), Python, Airflow, AWS EC2, Selenium, Microsoft Graph API, SharePoint
As a part-time freelance Blockchain Developer specializing in the BNB Chain, I focus on crafting and optimizing smart contracts using Solidity. My contributions to the BinaryBit project encompass two critical areas: Token & Bridge Smart Contract Development: I design and implement smart contracts that facilitate token operations and bridge functionalities, ensuring seamless token interoperability and secure asset transfers across different blockchain networks. Staking Smart Contract Development: I engineer robust staking smart contracts that support the project's proof-of-stake mechanisms. These contracts are designed to optimize reward distributions and enhance the staking process, contributing significantly to the network's stability and user engagement. Through these initiatives, I aim to deliver scalable, secure, and efficient blockchain solutions that drive the BinaryBit project forward.
As a Freelance Data Engineer at RTL, I played a pivotal role in enhancing our sales system by integrating a new data source into the datamart. My contributions were instrumental in the strategic development of Business Intelligence, utilizing a tech stack that included Snowflake, DBT, Azure Cloud, Airflow, and Python. In my capacity as the sole full-time data engineer on the Insights & Reporting team, I served as a crucial figure in sourcing data, vital for the creation of BI dashboards and reports in Tableau for management. My responsibilities encompassed the design and implementation of ETL processes, from data transfer to our staging area, updating records in our data warehouse, to integrating business logic within our star-schema-oriented datamart, all while keeping generality in mind to meet diverse data needs. Managing datasets of significant volume, some exceeding a billion rows, highlighted my key role in ensuring robust and insightful analytics for the team.
During my transformative year at Dapp University, I embarked on an intensive journey into the world of blockchain development. Immersed in a curriculum designed for beginners, I swiftly advanced through creating, testing, and deploying smart contracts using Solidity, alongside developing full-stack decentralized applications with JavaScript and React. This experience culminated in a portfolio of blockchain projects, including a token crowdsale, a decentralized exchange, and an NFT marketplace, laying a solid foundation for my career in blockchain technology.
My role as a Data Engineer/ETL Developer was characterized by leading the transition to cloud-based data warehousing with Azure, streamlining the data warehousing process, and optimizing database management through Azure SQL, t-SQL, and SQL Server Management Studio. My efforts in spearheading DevOps integration and managing Azure Data Factory and SQL Database releases via Azure DevOps and Visual Studio Code were crucial. I transformed over 300 SSIS packages into standardized, parameterized workflows, which marked a significant advancement in our data processing routines by enhancing system efficiency and adaptability. The integration of DevOps practices, a new endeavor for the company, along with the creation of comprehensive documentation on infrastructure, networking, and security, highlighted my role in preparing the team for future technological evolutions. My focus extended beyond technical achievements to mentoring and knowledge sharing, preparing the team for the future while showcasing an alignment with the transparency and security principles of blockchain technology.