3 years of IT experience in which 2+ years of experience in Data Engineer/Azure Data Engineer design, development and implementaion of end-to-end production data pipeline using microsoft azure platform.Strong development skills with Azure Data Lake, Azure Data Factory, SQL Data Warehouse, Azure Blob, Azure Storage, Azure Databricks, Apache Spark, Azure SQL, Azure key vault etc.1.Create and maintain optimal data pipeline architecture in cloud Microsoft Azure using Azure Data Factory and Azure Databricks.2.Creating Data Factory pipeline that can bulk copy multiple tables at once from relational database to azure datalake gen23.Setting up Azure infrastructure like storgae accounts, integration runtime, service principal id, app registration to enable scalable and optimized utilization of business user analytical requirements in azure.4.Writing Pyspark and spark sql transformation in azure databricks to perform complex transformations for business rule implementaion.5.Configured and implemented the azure data factory triggers and scheduled the pipeline. Monitored the scheduled azure data factory pipeline and configured the alerts to get notification of failure pipeline.6.Exposure to Azure data factory activities such as lookup, if condition, for each, set variable, append variable, Get Metadata, filter etc.