Bathula Varun

• Working as a Data Engineer and have a total of 5.10 years of extensive experience (3.7 years on Azure SQL DBA and 2.3 years in Data Engineer).
• Good hands-on Azure resources creation and maintenance.
• Created IR, LS, Data Set and Pipelines according to requirement and transformed the data from Azure blob storage/Azure Data Lake storage to Azure SQL Database in Delimitated form data.
• Worked to move the data transform from On-Premises SQL database table to Azure SQL using ADF.
• Scheduled Jobs in Flows and ADF Pipelines. Create automated workflows with the help of triggers.
• Creating containers and generating the SAS keys, Access Key and providing access on containers.
• Have much experience on Migration On-Premises, IaaS, PaaS.
• Supporting 140 servers, overall 2000+ dbs. and application support also.
• Have experience on 0n-premise, IaaS and PaaS services.
• Created Key vaults and have experience of Keys, Secrets and certificates.
• Configured Recovery services vault backups VM’s, IaaS SQL DB’s and Files uploading.
• Worked on storage account, access keys, SAS token, and ADLS. Migrated files from one storage account to another storage account.
• Migrated SSIS packages to ADF with lift and shift method and installed Self-Hosted IR for High availability.
• Code deployments in Databricks from one branch to another branch.
• I have very good experience on Fail-Over groups, Geo replication, sync-to-other dbs.
• Monitoring and maintenance of production, testing and development environments. 
• Daily activities include monitoring Database, checking error logs, checking the log file size and free space in the data drives, connectivity of the databases.
• Good team player, strong interpersonal and Communication skills combined with self-motivation. 

PROJECTS

MSBU, Hyderabad.

Senior Software Engineer at Persistent Systems Limited from March – 2022 to till date.

EDUCATIONAL QALIFICATION : B. Tech from JNTU - 2016

SKIL SET

Azure : Azure Data Factory(ADF), Databricks, ADLS, GitHub, On-Premises SQL, IaaS SQL, PaaS, Azure VMs, Recovery services vault, Azure SQL DB, Managed instance, Geo-replication, Failover groups, Sync to other dbs. DMA, DMS, Migration, Azure active directory, Azure analysis services, Storage explorer, PowerBI, Azure DevOps, Azure monitoring, Key vaults, Application support, SSL certificate renewal.

RDBMS : MS SQL Server 2017/2016/2014/2012

SQL Server Tools : SSMS, Profiler, Query Analyzer.

Operating System : Windows 2019/2016/2012.

Languages : SQL, Python.

Ticketing tools : Orbit and Azure DevOps, SNOW.