Create an end-to-end ETL pipeline that feeds Azure Data Lake with sales and customer data from various sources. For Power BI reporting, transform it and store it in Azure Synapse Analytics. Pay attention to data transformation, cleansing, and visualization.

Create a streaming data solution that processes IoT sensor data in real-time by utilizing Event Hub and Azure Stream Analytics. Implement monitoring and anomaly alerting, and store processed data in Cosmos DB or Data Lake.

Utilize Azure Data Factory to extract social media data from APIs, then use Databricks to transform it before importing it into a Synapse Analytics data warehouse. Create insights such as trend reports, user engagement, and sentiment analysis using this warehouse.