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About Me
6.11 Years of experience in IT. An Informatica Certified Developer. Experience in ETL Development using Informatica and SQL end-to-end Data warehouse Development experience. Have decent exposure to ETL performance tuning using Informatica tool. Have ...
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Portfolio Projects
Description
Ø Contributed in preparing Technical design documents, Business requirement document.
Ø Analysis the existing procedures for which pull the data and load in data warehouse.
Ø Working on the balancing mechanism including financial controls which would be applied to ensure the data integrity throughout the event flow.
Ø Involved in preparing test cases, test suit for all the modules.
Ø Prepared LLD, Technical Design Documentation, and Review Checklist for project purpose.
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Ø Contributed in preparing Technical design documents, Business requirement document.
Ø Analyzed Sources, Targets and designed the ETL strategy.
Ø Extensively used Power Center/Mart to design multiple mappings with embedded business logic.
Ø Created complex mappings using Unconnected Lookup, Sorter, Aggregator, newly changed dynamic Lookup and Router transformations for populating target table in efficient manner.
Ø Performance tuning of the Informatica mappings using various components like Parameter files, Variables and Dynamic Cache
Ø Involved in unit testing.
Ø Analysis and developing new mappings for which push and pull the data and load in data warehouse.
Ø Working on the balancing mechanism including financial controls which would be applied to ensure the data integrity throughout the event flow.
Ø Involved in preparing test cases, test suit for all the modules.
Ø Involved in Coordinating UAT, migration and support on-boarding activities.
Ø Performed code review by using internal tool (platinum code reviewer).
Ø Implemented CDC mappings through Informatica Powerexchange
Ø Prepared LLD, Technical Design Documentation, and Review Checklist for project purpose.
Ø Mentoring the new joiners in the project.
Ø Batch monitoring.
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Ø Reviewed the technical design documents prepared based on requirements.
Ø Analyzed Sources, Targets and designed the ETL strategy.
Ø Extensively used Power Center/Mart to design multiple mappings with embedded business logic.
Ø Created complex mappings using Unconnected Lookup, Sorter, Aggregator, newly changed dynamic Lookup and Router transformations for populating target table in efficient manner.
Ø Performance tuning of the Informatica mappings using various components like Parameter files, Variables and Dynamic Cache
Ø Involved in unit testing.
Ø Implemented End-to-End Auditing and Reconciliation of records
Ø Tuned Informatica Mappings and Sessions for optimum performance.
Ø Performed data gap analysis from source systems to target elements and also from target elements to reporting elements.
Ø Setting up defect triage calls, consolidating day’s work, reviewing newly developed mappings.
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Ø Participated in analysis of the specifications provided by the clients.
Ø Analysis and developing new mappings to pull and load the data.
Ø Contributed in preparing Technical design documents, Business requirement document.
Ø Analysis and developing new mappings for which push and pull the data and load in data warehouse.
Ø Working on the balancing mechanism including financial controls which would be applied to ensure the data integrity throughout the event flow.
Ø Designing and implementing the ETL Mappings and Sessions in Informatica
Ø Involved in preparing test cases, test suit for all the modules.
Ø Involved in Coordinating UAT, migration and support on-boarding activities.
Ø Involved in preparing test cases, test suit for all the modules.
Ø Mentoring the new joiners in the project.
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This involved replacement of the existing source system with new one for getting financial information related to Amex. This is for the first time User will have the flexibility to update the source data. Complex audit balancing has been implemented to check the source statistics after completing the initial load. If not matching then error in data load should be raised. We have developed balancing for Null checks of mandatory columns and data type validations and end of the day balancing that will check the total of each financial column and compare the same between the source system and target database.
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This involved creation of a complete data warehouse for a special type of business card of Amex. Informatica Architecture was designed to load Huge Data in less time. Complex Fact Dimension model was created for the purpose of reporting. Dimension mappings were created with the Insert else Update Strategy. For this purpose Dynamic Lookups were used to allow for update and removing the duplicates value from source side.
Show More Show LessDescription
This involved creation of a complete data warehouse for a special type of business card of Amex. Informatica Architecture was designed to load Huge Data in less time. Complex Fact Dimension model was created for the purpose of reporting. Dimension mappings were created with the Insert else Update Strategy. For this purpose Dynamic Lookups were used to allow for update and removing the duplicates value from source side
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Optimization was done at the source side to reduce the processing volume of GPM. This has resulted in one to two hours earlier delivery of the source files during the load run. Now overall source files are available to ETL team 1.5 to 2 hours earlier than it was prior.
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This involved replacement of the existing source system with new one for getting the business information related to Lululemon. This is for the first time User will have the flexibility to update the source data. Complex audit balancing has been implemented to check the source statistics after completing the initial load. If not matching then error in data load should be raised. We have developed balancing for Null checks of mandatory columns and data type validations and end of the day balancing that will check the total of each financial column and compare the same between the source system and target database.
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This project is customize solution of content management system (CMS). Application is used to analyze the archeological data and store them into database as per category. Main logic behind the web application is to take raw data and upload data into Oracle database. Stored categorized structured data and fetch them as per requirement.
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