Cloud Data Engineer

I am a Cloud-native Data Engineer with over 5 years of experience in delivering scalable, secure, and automated data infrastructure across various cloud platforms including Azure, Snowflake, and Databricks. I am skilled at enabling machine learning workflows, deploying robust CI/CD pipelines, and transforming large datasets into high-quality, production-ready inputs for analytics and machine learning systems. I have a proven ability to work cross-functionally with ML engineers, DevOps, and product teams, and I am passionate about real-time data, performance optimization, and the AI/ML lifecycle in cloud environments.

Throughout my career, I have designed and deployed scalable CI/CD pipelines, refactored ETL architectures, and supported ML teams with production-grade data ingestion pipelines. I have built cloud-hosted ML pipelines with high accuracy, developed biometric authentication systems, and created end-to-end data pipelines that significantly reduce processing times. My experience also includes building predictive maintenance models, creating real-time dashboards, and establishing enterprise-wide data infrastructure with standardized governance.

I am highly proficient in cloud and data platforms such as Azure (ADF, Synapse, Databricks, Data Lake Gen2), Snowflake, and tools like PowerBI, Plotly. My programming skills include Python, SQL, and PySpark, and I am certified in Azure Fundamentals, Azure Data Engineer, Snowflake, and Data Science. I am eager to bring my expertise to new challenges and contribute to innovative data solutions.

I am open to hybrid or relocation opportunities within the EU, including Malta, with visa sponsorship if required. I am fluent in English and have basic knowledge of French. I am committed to continuous learning and applying my skills to help organizations leverage their data assets effectively.