 Creation of Virtual Machines, Storage account creations, Virtual Networks and Deploying SQL Server and configuration of Always On (Azure IaaS). Created Blob Storages in the Azure environment to store backup files and copied files from Azure Blob to local using Azure CLI. Configured SQL server always On in Azure virtual machines with load balancer setup for listener connectivity Good knowledge on configuring VM scale sets and load balancers Created SQL Server Databases in Azure PaaS like Single Database, Elastic pools and Managed Instance Migrated Databases from On-Premise to Azure using tools like DMA, DMS, BACPAC and Export/Import. Configured Geo Replication for Azure SQL server Databases Good knowledge of DTU, eDTUs and DTU calculator Good knowledge on Azure migration service like Azure Migrate, Recovery site vault and DMS Good knowledge about SQL server general purpose and Business critical licenses. Backup Azure SQL DBs in Azure and Automation of SQL DB backups Work as part of a team and provide 24x7 supports Zeal to learn new things, good communication skills, very quick in adopting new technologies. Completed Microsoft Certification on Azure Data Engineering DP900 and DP-203. Good Knowledge in Azure Analytics Services – Azure Data Lake Store (ADLS), Azure Data Lake Analytics (ADLA), Azure SQL DW, Azure Data Factory (ADF), Azure Databricks (ADB), Azure Synapse etc. Excellent knowledge of ADF building components – Integration Runtime, Linked Services, Data Sets, Pipelines, Activities. Good Knowledge in building Azure Databricks (ADB) Spark-Python Notebooks to perform data transformations. Good exposure to Spark RDDs, Data Frames, and Spark SQL. Good knowledge in designing and implementing data integration pipelines in Azure Data Factory (ADF) using various Activities like Get Metadata, Lookup, For Each, Wait, Execute Pipeline, Set Variable, Filter, until, etc.