Pavan Kumar
Azure Data and integration engineer
Talent
Milton Keynes, Central Milton Keynes, Milton Keynes500 GBP/hourMember since January 7, 2025
·
Hire their services
Request a quote with no obligation
azure data factoryazure data engineerazure logic appsbiztalkazure synapseazure data bricksazue functions
About
I have been working as Azure Data Engineer in the following technologies
Azure Data bricks
Azure Data Factory
Azure Synapse
Azure Logic Apps
Azue Functions
BizTalk etc
Experience
Professional Summary
- Over 20 years of experience in developing Integration and web Applications using Microsoft Technologies and worked for the clients Bank of Ireland, Santander, Deutsche Bank, AXA Insurance etc.
- Hand on experience in of Azure cloud services Azure Databricks, Synapse, data lake storage, Azure data factory, Stream analytics, Power BI, APIM, Service Bus, Azure DevOps, and CI CD.
- Azure Logic apps, APIM, Functions, Service Bus, Azure Event Grid, Storage, Data Lake, ARM templates, DevOps and Bicep.
- Worked on various Azure services like Event Hub, Event Grid, Key Vault, Log Analytics and Azure Monitor
- Extensive hands-on experience in BizTalk Server 2020, Enterprise Service Bus, C# 2.0/3.0, ASP.NET 2.0\3.5, VB.NET, AJAX, LINQ, WCF, SOAP, XML, XSD, XSLT, SQL Server 2005/2008, Oracle, ASP & VB6.
- Total ownership on BizTalk server and Responsible for BizTalk Administration, design, coding, review and deployment of MSI in all environments (System Testing, QA, UAT and Production) and preparation of release and backup documentation.
- Experience to managing huge volumes of structure, semi- structure and unstructured data.
- Experience on Writing SQLs for Data Cleansing, Data Lineage, Data Validations, Analyzing & Reporting by using Oracle and SQL Server.
- MuleSoft Anypoint Platform, Anypoint Studio and designing and developing RAML based APIs using Anypoint API Platform.
- Experience with different adapters FILE, FTP, SQL, ORACLE, WCF, SOAP, MSMQ, IBM MQ Series, SharePoint, Microsoft dynamics CRM and SAP.
- Experience in database design using Normalization techniques, writing TSQL (stored procedures, functions, triggers and also involved in creating backups, and restoration of the databases) and performance tuning.
