Resume

Tokyo, Japan

• Developed ETL pipelines on Databricks, ensuring high data quality and efficiency
• Designed and implemented a Kafka-based data ingestion framework with Rust bindings for Python, Java, TypeScript, and Go
• Established Open Telemetry for monitoring and tracing within the data ingestion SDK
• Built and maintained a scalable AWS data platform using OpenTofu, Terragrunt, and Terramate
• Led the implementation of CI/CD pipelines for seamless deployment of data services on GitHub Actions
• Implemented MLOps best practices for model deployment and monitoring with MLflow
• Collaborated on data-mesh architecture within cross-functional teams

Amsterdam, Netherlands

• Built ETL pipelines and tools for auditing and monitoring Databricks workspaces
• Developed and maintained Terraform modules for Azure and Kubernetes deployments
• Led Python code reviews to improve code quality and consistency
• Deployed and managed Azure-based resources using ArgoCD and Kubernetes
• Streamlined CI/CD pipelines on GitHub Actions to enhance team productivity

Amsterdam, Netherlands

• Redesigned CI/CD strategy, reducing build times and improving workflows
• Developed and optimized Docker images with buildx, reducing build time by 60%
• Built a production-ready data lake on AWS Athena
• Maintained Apache Airflow components and deployed Infrastructure as Code with Terraform
• Mentored new engineers to accelerate onboarding and growth

Madrid, Spain

• Developed ETL pipelines and automated processes with SQL, Python, and Talend
• Administered Linux and Windows Server systems to ensure stability
• Enhanced Sage X3 ERP systems and delivered Business Intelligence solutions
• Contributed to machine learning and data engineering projects