Madrid, Community of Madrid, Spain
Data Engineer with solid experience in distributed architectures and Big Data environments on Azure. I have designed and deployed scalable and efficient data pipelines using technologies such as PySpark and pure Python, working in both batch and real-time processing. I have developed robust solutions for data integration from multiple sources (SQL Server, Oracle, MySQL, APIs), applying modern architectures such as Medallion. I have also collaborated in the adoption of Microsoft Fabric and Azure Synapse to modernize the analytics stack. Hands-on experience in orchestration tools like Azure Data Factory , as well as CI/CD with Git and Azure DevOps. I have led data validation for advanced analytics and data science, participating in the preparation of datasets for AI models and actively contributing to governance and QA. Familiar with multinational environments, I have worked with distributed teams in English, providing technical solutions aligned to business objectives. I have also performed results visualization and participated in exploratory and operational analysis.
Identified and resolved performance bottlenecks in backend systems, significantly improving system efficiency and user experience. Developed and maintained RESTful APIs using FastAPI and Flask, ensuring high scalability and optimal performance. Integrated third-party APIs, enabling seamless data ingestion from external sources to enhance application functionality. Implemented secure user authentication and authorization using OAuth 2.0, protecting endpoints and sensitive data. Optimized SQL queries for efficient data retrieval and manipulation, improving database performance and scalability. Managed containerized applications with Docker, ensuring consistent development, testing, and production environments. Configured and maintained CI/CD pipelines to automate testing, building, and deployment, streamlining development workflows. Developed and deployed machine learning models using scikit-learn and TensorFlow, driving real-time predictions and business insights.