Aswathy Gopinath Email & Phone Number | Experience Summary: • 11 years of work experience in development, data analysis, requirement gathering and data warehousing. • Having experience in leading team and possess excellent communication and interpersonal skills, ability to quickly grasp new concepts, both technical and business related and utilize as needed. • Extensive hands on experience in design and development using Python, PL/SQL • Experience in Informatica 9.X to design develop and test ETL mappings and workflows. • Experience in OBIEE/Tableau to develop dashboards and reports with key indicators for end users. Present insights inferred from data analysis to non technical audiences. • Proficient in Oracle, SQL Server 2005/2008,Netezza and Hive databases. • Domain experience in Banking and Telecom. • Knowledge of JSON, Python libraries for data analysis.

Aswathy Gopinath

Experience Summary: • 11 years of work experience in development, data analysis, requirement gat...
Parsippany, New Jersey, United States

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Aswathy Gopinath’s Location Parsippany, New Jersey, United States

Aswathy Gopinath’s Current Industry

Aswathy Gopinath’s Prior Industry Tata Consultancy Services | Infosys Technologies | Infosys

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Assistant Consultant

2011-10-01 00:00:00 - 2019-03-01 00:00:00

System Engineer

2010-05-01 00:00:00 - 2011-09-01 00:00:00

Software Engineer

2009-10-01 00:00:00 - 2010-04-01 00:00:00

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Aswathy Gopinath is a Experience Summary: • 11 years of work experience in development, data analysis, requirement gathering and data warehousing. • Having experience in leading team and possess excellent communication and interpersonal skills, ability to quickly grasp new concepts, both technical and business related and utilize as needed. • Extensive hands on experience in design and development using Python, PL/SQL • Experience in Informatica 9.X to design develop and test ETL mappings and workflows. • Experience in OBIEE/Tableau to develop dashboards and reports with key indicators for end users. Present insights inferred from data analysis to non technical audiences. • Proficient in Oracle, SQL Server 2005/2008,Netezza and Hive databases. • Domain experience in Banking and Telecom. • Knowledge of JSON, Python libraries for data analysis.