I am an Azure Data Engineer. I design data pipelines. They extract, transform, and load data from various sources. I've got over 12 years of experience. I've worked in data engineering. I've also worked in cloud computing and software development. I am skilled in using Azure Databricks for data ingestion and processing. I can write PySpark applications. They handle large datasets and find valuable insights. My expertise in Spark SQL enables me to transform and analyze data efficiently. I excel in setting up robust ETL processes using Azure Data Factory. I can create pipelines. They will move data from Azure Data Lake, blob storage, and other sources to data warehouses like Snowflake. They will do this smoothly. Data integration is one of my key strengths. I can make pipelines in ADF. They let data flow smoothly between Azure services and databases. These include SQL Database. Using Azure Synapse Analytics for data warehousing has boosted query speed a lot. Throughout my career, I have made data processing tasks more efficient. I did this by automating Databricks notebooks with PySpark and SQL scripts. This has enhanced data handling and analysis efficiency. I am skilled at designing scalable data systems. I use various Azure components, such as Data Lake, Databricks, and Data Factory. Let's get in touch if you require an experienced Azure Data Engineer. I will build and improve your organization's data pipelines. This will enable smooth data flow and drive insights from your data.