Microsoft Business Intelligence (Data Tools)|Databricks vs Cloud Platforms

Tuesday, January 27, 2026

Databricks vs Cloud Platforms - Knowledge Assessment Quiz

Databricks vs Cloud Platforms - Knowledge Quiz

With over 17 years of experience in the Data Engineering stack across a variety of cloud and on-premises systems, I have successfully delivered more than ten complete business product solutions. My expertise lies in building robust infrastructure and architecture to support data engineering, data analytics, and machine learning processes. These solutions have significantly improved collaboration among cross-functional teams, including data scientists, business analysts, software engineers, and stakeholders. Key Contributions Data Modelling and Integration • Data Modeling: Developed various data models to produce suitable data for business users, data analytics, data science, and data visualization teams. • Legacy Systems and Cloud Technologies: Integrated legacy systems with modern cloud-based technologies (AWS, Azure, GCP), data lakes, and data warehouses. • Streamlined Data Pipelines: Built efficient data pipelines, data warehouses, BI reports, and dashboards to streamline data access and insights.

Microsoft Business Intelligence (Data Tools)

Tuesday, January 27, 2026

Databricks vs Cloud Platforms - Knowledge Assessment Quiz

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