As a dedicated Freelance Data Engineer, I specialize in building, modernizing, and optimizing scalable data platforms primarily within the Azure ecosystem, with deep expertise in Databricks and PySpark.
My passion lies in transforming complex, raw data into reliable, high-performance assets that drive strategic business decisions. I have a proven track record of designing and implementing end-to-end ETL/ELT pipelines, migrating legacy systems with zero downtime (e.g., Unilever), and architecting solutions for both batch and real-time data processing (Kafka), including AI infrastructure (e.g., Mercedes-Benz CAC). I'm adept at cloud-native architectures, data warehousing (Delta Lake, Star/Snowflake schemas), and implementing robust CI/CD with Azure DevOps.
I thrive on tackling challenging data integration and modernization initiatives, always committed to ensuring data quality, performance, and strategic value.
Currently seeking new freelance contracts. If you're looking for an experienced Data Engineer to build resilient data platforms, enhance data governance, or drive digital transformation initiatives, let's connect! I'm always open to discussing how my skills can bring tangible value to your next project.