END TO END DATA ENGINEERING PROJECT
Explore the Paris Olympics data journey! We ingested a GitHub CSV into Azure via Data Factory, stored it in Data Lake Storage Gen2, performed transformations in Databricks, conducted analytics in Azure Synapse, and visualized insights in Synapse.
This is an End to End Azure Data Engineering project copying data from Rest API to Azure cloud.
This project demonstrates the end-to-end process of building a data pipeline using Azure Synapse Analytics, Azure Data Factory (ADF), Databricks, and Delta Lake to ingest, clean, transform, and store data.
This project creates an end-to-end data pipeline and interactive dashboard for analyzing mutual funds' performance using Microsoft Azure and Power BI. It leverages Azure Data Factory, Data Lake Storage, SQL Database, and Databricks to build a scalable, efficient pipeline, providing real-time insights and data-driven decision-making.
An end-to-end data pipeline project using Azure to extract, transform, and visualize customer sales data using an HTTP Linked Service in Azure Data Factory. Delivers an interactive Power BI dashboard with product and sales insights.
Tokyo Olympic 2021 Analysis Using Microsoft Azure platform
Leveraging Microsoft AZURE Services , DEVELOPING a high performance ETL pipeline that extracts and transform the BikeStores data and loads it to Azure data warehouse
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