Testimonials

  • Harshit has very good knowledge. He cleared all my doubts and provide me all the best possible solutions. He also shared some of the useful resouces with me.
    Khanjan Anjaria

Services

Video meeting . 30 mins
5
800
Popular
Video meeting . 30 mins
5
800
Video meeting . 30 mins
800
Video meeting . 60 mins
1,300

Ratings and feedback

5/5
2 ratings
1
Testimonials

About me

I have my youtube channel for Cracking SQL Interviews for Fresher to Medium level of experienced professionals..!!! Subscribe to My YouTube Channel: https://www.youtube.com/@ILoveSQL Around 10 years of professional IT experience specializing in data modeling, data migration, integration, extraction, loading, database design, maintenance and client support. • 1.5 years of onsite experience for District Co-operative banks outside Gujarat. This includes Client Interaction, Requirement Understandings, Data Migration and system support. • Proficient in SQL Server Development/T-SQL which includes Stored Procedures, Functions, Cursors, Indexes, Exception Handling, Joins, Subqueries, Correlated Subqueries, etc. • Responsible for developing, support and maintenance for the ETL (Extract, Transform and Load) processes using SQL Server and SSIS Packages. • Having experience with data cleansing using functionalities of Fuzzy grouping and Fuzzy lookup. • Having experience in Initial load as well as Incremental load techniques while doing Data Migration. • Created parameterized pipeline, parameterized datasets and worked on different activities in Azure Data Factory. • Ability to perform data migration from on-premise SQL Server to Azure SQL or data lake storage cloud using Azure Data Factory. • Reasonable experience of migration of conventional ETL (SSIS) processes from on premise to Azure landscape. • Ability to migrate tables with multiple schemas, multiple tables on same database to Azure Blob Storage or Azure SQL Database using Copy Data Activity in Azure Data Factory. • Have worked on Copy Data Activity, Lookup Activity and For Each activities. • Having knowledge in scheduling the pipelines with the use of schedule triggers. • Good Knowledge in Power BI and its components, Power Query, DAX, Data Modeling, Power Pivot, Data Visualizations and Power BI Service.