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Bi Lead Resume


  • BI Lead/Senior Dev with 10+ years’ experience in designing Microsoft Business Reports using SSRS.
  • Specialize in using Microsoft BI tools like SSAS, SSIS, SSRS (Microsoft Reporting Services).
  • Handle team of Vendors/developers who develop BI solution for a law firm.
  • Act as a Business Liaisons between Business and Technology teams and vendors.
  • Gather requirements from business users in Finance, HR and Marketing. Understanding the requirement, proposing solutions to them.
  • Instructing vendors/developers to build reports as per the requirements. Guiding developers in complex report development.
  • Helping business with automated scheduling and caching of reports.
  • Building various kinds of reports like drill through, sub reports, bar and pie charts and creating various kinds of subscriptions like scheduled, data driven, event driven etc.
  • Providing ad hoc reporting for Business/Finance users.



BI Lead


  • Gather reporting requirements from Finance, Marketing, HR, Knowledge and Architecture teams.
  • Suggest various solutions in implementing their reporting needs.
  • Provide instructions/specs to vendors/developers for reports development.
  • Help developers with complex reports.
  • Helping/suggesting business with automation of reports.
  • Creating various data driven subscriptions for automation of reports.
  • Helped architecture team by creating audit reports between various systems to ensure data is in sync with all systems.
  • Created Reconciliation report for business users to ensure data reconcile data pulled form source system into BWBI environment on daily basis.


BI Lead/Senior Developer


  • Making sure data is collected from various stores overnight into Datamart.
  • Monitoring SSIS packages and data loading scripts.
  • Ensure errors for data load are reported to business users for Data correction.
  • Analyze user requirement for reporting.
  • Create reports using Microsoft SSRS 2008.
  • Run ad hoc queries and produce one time reports for Business/Finance users as per their requirement.
  • Tune the loading scripts to ensure faster data load by creating appropriate indexes.
  • Take care of purging/archiving of old data

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