About

Sweta Kumari is a Senior Data Analyst with over 6 years of experience in the field of data analytics. She is currently seeking full-time job opportunities in Business systems analyst/Product manager/business Analyst/Business Intelligence Engineer roles. Sweta's current role is at exl where she is responsible for building reliable and scalable single source of truth on BigQuery by moving data from multiple sources like Teradata, Oracle, AWS S3 on BigQuery, addressing the data quality issues, documenting data lineage and creating data dictionary. She has also migrated BI reports written in SQL from Teradata to BigQuery syntax in new GCP platform and scheduled them into a job scheduler. Sweta has performed data discovery/data profiling on large and complex data set to identify data inconsistencies, data quality issues and identify reliable source tables to develop a reliable data pipeline on BigQuery. She has written and validated data quality rules/data mapping in accordance with the product requirements to ensure quality and consistency of data. Sweta has transformed merchant profile data available in various formats like JSON, XML from various vendors like S&P and, Duns and Bradstreet, into a new data model on GCP which is useful for seller/merchant risk model. She has developed a new data model based on use cases and applicability for seller and merchant PnL model, and migrated/mapped data from a source into that data model. Sweta has created a data contract between data producer(s) and data consumer(s) that describes the data to be exchanged to establish roles and responsibilities of upstream and downstream, and the product, engineering, and governance teams. She has analyzed and identified data for personal identification information or sensitive confidential information and grouped them into a new data classification that fits into a data model. Sweta has also understood and raised escalations when required to minimize the impact on deliverables and initiated and participated in Root Cause Analysis to provide specific updates as and when needed. Prior to her current role, Sweta has worked as a Business Data Analyst at icuro where she extracted, cleaned and integrated data from multiple sources using Beautiful Soup, REST API, Pandas and NumPy for statistical data analysis. She has analyzed complex data using Python libraries and data analytics tool Tableau to identify profitable customers for maximizing profit and reducing cost. Sweta has automated task of data extraction from various websites and preparation by UiPath web automation to save task effort by 70%. She has created dashboards and reports using visualization tool Tableau that conveyed insightful information for business