Manish Verma Email & Phone Number | • 12+ years’ experience in designing, developing and supporting large scale Data Warehouse solution in different domain. • Proficient in delivering end to end DWH solution with structured and unstructured data. • Experience in migrating on premise DWH solution to Azure platform. • Hands on experience in Microsoft Technologies like Azure, SSIS, SSAS and SQL Server • Microsoft Certified Azure Data Engineer and Solution Associate. Work Summary • Provided end to end solution in ADF to read data from source and load it in to Azure Analysis services. • Designed, developed, deployed and maintaining ETL packages in SSIS for loading Stage and Fact/Dimension tables. • Implemented slowly changing dimensions by applying customize logic using SSIS. • Used change tracker/CDC feature of SQL server to load data incrementally. • Created partition on Fact Tables and used Partition Switch concept to load huge amount of data in very big table.

Manish Verma

• 12+ years’ experience in designing, developing and supporting large scale Data Warehouse solution...
Jk Technosoft, Uttar Pradesh, India

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Manish Verma’s Phone Numbers +91 120 460 ****

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Manish Verma’s Location Jk Technosoft, Uttar Pradesh, India

Manish Verma’s Current Industry Jk Technosoft

Manish Verma’s Prior Industry Blueapple Tech

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Technical Lead

2019-04-01 00:00:00 - Present

Web Developer

2007-10-01 00:00:00 - 2013-10-01 00:00:00

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Manish Verma is a • 12+ years’ experience in designing, developing and supporting large scale Data Warehouse solution in different domain. • Proficient in delivering end to end DWH solution with structured and unstructured data. • Experience in migrating on premise DWH solution to Azure platform. • Hands on experience in Microsoft Technologies like Azure, SSIS, SSAS and SQL Server • Microsoft Certified Azure Data Engineer and Solution Associate. Work Summary • Provided end to end solution in ADF to read data from source and load it in to Azure Analysis services. • Designed, developed, deployed and maintaining ETL packages in SSIS for loading Stage and Fact/Dimension tables. • Implemented slowly changing dimensions by applying customize logic using SSIS. • Used change tracker/CDC feature of SQL server to load data incrementally. • Created partition on Fact Tables and used Partition Switch concept to load huge amount of data in very big table.