Lorenzo Nilo

1. Data Engineer and Software Engineer with over 3 years of experience in designing and developing scalable cloud-based data platforms on Microsoft Azure, specializing in modern data architectures for analytics and automated workflows using Azure Databricks, PySpark, Microsoft Fabric, and Azure Data Services. 2. Experienced in data engineering and cloud integration development, having designed and implemented ETL and ELT pipelines with Apache Spark and Databricks, supporting large data processing with lakehouse and medallion architecture patterns. 3. Worked extensively with Microsoft Fabric to build Lakehouse solutions, semantic models, and optimized data structures for Power BI reporting. 4. Developed cloud-native integration solutions using Azure Functions, Logic Apps, and Service Bus for event-driven architectures and automated workflows integrating with platforms like Zuora Billing and Azure Data Lake Storage. 5. Recent projects include building scalable ETL pipelines with Databricks and PySpark, implementing Microsoft Fabric Lakehouse solutions, migrating data platforms to Azure, developing Azure Function applications, and implementing logging, monitoring, and CI/CD pipelines using Azure DevOps. 6. Passionate about creating reliable data platforms that transform raw data into insights, with a goal to expand expertise in modern data engineering, lakehouse architectures, and cloud-native analytics solutions. 7. Technical stack includes Azure Databricks, Apache Spark, PySpark, Microsoft Fabric, Azure Data Factory, and Azure Data Lake Storage.