Client : Teladoc Health • Designed, configured and deployed Microsoft Azure for a multitude of applications utilizing the Azure Stack Including Compute, Web Mobile, Blobs, ADF, Resource Groups, HDInsight Clusters, Azure.• Experience in migrating on premise to Windows Azure using Azure Site Recovery and Azure backups and having good knowledge on Azure fabric, micro services in Azure.• Worked on Azure Public Cloud and used the services like Virtual Networks, Subnets, Virtual Machines, Load Balancers, Application gateways, ARM templates, Resource Groups, storage accounts, App Services• Enterprise Container Services, and today using AWS Faregate. Implemented Micro Services framework with Spring Boot, NODE.JS and OpenShift containerization platform (OCP).• Created E1 Test and E2 Test environments for Unit, sanity, functional and performance testing, replicated all applications in OpenShift.• Used Service Management Automation (SMA) for automating the creation, monitoring and deployment of resources into Azure pack environment, Azure Service Bus and Web Services to handle messaging from thousands of devices• Managed OpenShift master, nodes with upgrades, decommission them from active participation by evacuating the nodes and upgrading them• Deployed cloud services (PaaS role instances) and Azure IaaS Virtual machines (VMs) into secure subnets and Vnets, designed Network Security Groups (NSGs) to control inbound and outbound access to network Interfaces (NICs), subnets and VMs.• Designed and developed Azure cloud specific security-policies for firewall management • Protecting azure storage account with the help of service endpoint or firewall• Worked on implementing Azure storage replication using Cloudflare to get best performance for hosted applications• Installed, configured and administered JBoss EAP 7.x/6.x in different environments like Development, QA, UAT and Production on Linux (RHEL 5).

• Working as an Azure Data Engineer using Azure Data Factory, Data Flow Mapping, Azure SQL DB, Microsoft SQL Server.• Development, implementation, documentation following the agile development process to create ADF pipelines to load Historical and Incremental data from On Premise MSSQL DB to Azure Cloud.• Developed Master Data Model combining different sources using Azure Data Factory along with SQL, Stored Procedure and Mapping Data Flow.• Implementation of Data Flow Mapping to implement transformations like Select, Lookup, Join, Conditional Split, Derived Column, etc.• Test and deploy ADF Pipelines from Dev to Prod Server following the Business guidelines.• Implementation of Error Handling in pipelines• Build data pipelines applications to stream and process datasets at low latencies ensuring data quality. • Developed and maintained end-to-end operations of ETL data pipelines and worked with large data sets in Azure Data Factory.• Used Azure Synapse, PySpark, Azure Databricks to convert existing SQL views into ADLS files.• Responsible for creating ADF pipelines to load source CSV files from remote systems to ADLS.• Led migration of legacy data platform from Teradata & Netezza to Azure cloud analytical system boosting performance by 45% while cutting total cost.• Automated incremental loading of IoT data from Azure Event Hubs to Azure Synapse SQL pool using data flow pipelines optimizing data latency and refresh.• Played key role in data platform team contributing to initiatives like Azure landing zone development, ADF enterprise-wide logging framework and CI/CD process standardization.• Support and maintenance of SSIS packages to load manufacturing data from CSV/text files and SQL Server into Azure SQL Database for reporting.• Diagnosed poor job performance by analysing execution plans and made indexing, partitioning, query tuning changes.

• Creating staging Database for temporary processing of data, consolidating data and loading database using Azure data factories.• Creating Activity’s in Azure data factory like copy activity, stored procedure activity, Custom activity to process data.• Creating Azure data lake store to maintain data and process data using Data lake analytics.• Creating and deploying tabular models in to Azure analysis services.• Processing Tabular models using Azure Runbooks. Scheduling runbooks using Azure pipelines.• Data storage using Azure data storage services like Azure blob storage, Azure SQL databases, Azure data warehouse, and Azure data lake store.• Following devops model where development, Testing and production support is also given by single team.• Using VSTS builds and releases to deploy ARM templates using Tasks for defining automation in build definition in different Environments.• Code maintenance using repositories. Writing power shell scripts in Azure power shell script tasks for Azure Analysis server creation automation in the build definition.• Developed advanced chart visualizations in Tableau such as Dual Axis, Box Plots, Bullet Graphs, Tree maps, Bubble Charts, Waterfall charts, funnel charts etc., to assist business users in solving complex problems. • Created HDFS connections in Informatica BDE for Integration with Hadoop. • Used Push down optimization to work around Informatica BDE limitations. Developed reports on Power BI to port from one reporting tool to another. Created Hive tables to store data into HDFS and processed data using HIVE QL. • Build microservices for the delivery of software products across the enterprise.