Natan David

Background

About Natan David

Graduated in Systems Analysis and Development at Universidade Estácio de Sá, postgraduate in Data Science and Big Data at PUC Minas, I have worked since 2019 in the data area in companies in the acquiring, electronic credit, market consultancy and health sectors. I worked on projects with cloud and on-premises infrastructure. Cloud: Azure, AWS; Relational Database: SQL Server, Azure SQL, PostGreSQL, Oracle, MySQL; NoSQL: DynamoDB; Cloud Data Warehouse: Azure Synapse Dedicated/Serveless; Cloud Storage: Azure Blob Storage, Amazon S3; ETL Tools: Azure Data Factory, Microsoft Integration Services, Azure Synapse Pipelines; Data Processing Tools: Databricks; Messaging Services: Azure Event Hubs; Streaming Analytics: Azure Stream Analytics; OLAP: Microsoft Analysis Services (MOLAP); Data Visualization: Microsoft Power BI, Excel; Languages: SQL, Python/Spark; Skills: Modeling: Relational and multidimensional databases (Data Warehouse); Languages: SQL Server (Ansi, T-SQL); Certifications: DP-203: Microsoft Azure Data Engineer Associate; DP-900: Microsoft Azure Data Fundamentals; AZ-900: Microsoft Azure Fundamentals; Databricks Accreditation - Databricks Lakehouse Fundamentals; AI-900: Microsoft Azure AI Fundamentals; PL-900: Microsoft Power Platform Fundamentals; AWS Certified Cloud Practitioner;