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About Me
12+ years of experience in Oracle PL/SQL and Data warehouse technologies as Technology Lead with Requirements Gathering, Analysis, Architecture, Design, Development, Testing, Implementation, Transition, Warranty, Production Support, Estimation & Sche...
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Portfolio Projects
Description
- Working as an individual contributor.
- Closely working with client, product owner to understand high level requirement, queries, strategy, analysis, Design.
- Handling Multi location distributed team as well as Developer for new development,
- Working as scrum master to communicate with team, standup calls, scrum meetings and identifying risk & dependencies.
- Code reviews as well individual contribution with Analysis, Design UT, IT, automation, Deployment.
Description
Consumer Data Application which deals with consumer, loan, real estate related data. It gets the data from different sources then transform and generate the reports for different users Environment: Oracle 11g, Oracle 12c, Autosys, SQL Server, PL/SQL, Toad, Rally, Cubic Explorer, TFS, Notepad++
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deals with Customer related data, It deals with Purging, History and CRC part which purge the data on the basis of retention period and maintain the history. Environment: Oracle 11g, Vertica, Autosys, SQL Server, PL/SQL, Toad, Rally, Cubic Explorer, TFS, Notepad++, Unix.
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deals with data movement services, I worked on Archer project which migrate all applicable data from different sources to one Archer application thought Informatica tool. Environment: Oracle 10g, Autosys, SQL Server, PL/SQL, Informatica, Netezza, Toad, SVN, Notepad++, Unix.
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CDR is an Implementation of Janus Data Warehouse of CDISC SDTM methodology. The CDR provides a single data repository for clinical patient data (CRFs) that enables reporting across drug and vaccine programs. The CDR uses industry standard data models and interchange formats to facilitate collaboration with internal and external partners by supporting common semantics. The CDR provides a number of data enrichment capabilities including: standard derivations, phasing, and vocabulary leveling across trials.
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