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senior Data Engineer
PayPal•  January 2020 - Present
• Building offline analytics datasets and providing analytics data support to derive critical business insights. • E2E data creation, including architecture design and implementation, data quality monitoring and control, within a multi-platform data system • Manipulating large and complex datasets through statistical software, such as Python or SAS or R. • Performing queries on ETL layer (Extract, Transform and Load) and performing impact analysis using Informatica Power Center tool for PayPal’s new products, change requests and production issues • Developing and Debugging the informatica mapping specifications like Entity Level Mapping, Attribute Level Mapping, and STM (Source to Target) and analyzing informatica code using workflow monitor • Writing advance SQL queries on Hadoop systems for analyzing historical archived data • Performing data analysis In SAP HANA Studio using advanced SQL queries to rectify financial data related issues in Financial layers like DSL, DOL, RDL • Executing SAP HANA Hive queries in order to verify that data code meets the requirement • Providing production level support including code validation, live data streaming validation and reconciliation validation in agile development environment to retain 100% SLA adherence • Analyze different ETL and SAP layers using HANA Studio and Hadoop, coordinate with different upstream/downstream teams to bring the issue to a closure within the SLA timeline.
Education
Pace University
Computer Science, MS•  January 2018 - December 2019
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