Aishwarya Naik

Master's

Data Science

Brillio

Senior Data Engineer

- Automated Data Cleansing, Transformation, and Reporting (ETL) for University Fundraising and Enrolment - Automated a manual process involving file uploads from servers and issue resolution, reducing time spent from 7 hours - Developed a dynamic rule engine in PySpark Databricks to accommodate machine learning models with diverse rules - Led an end-to-end automation process for campaign data, including cleansing, issue analysis, and resolution using Azure - Data Factory - Implemented dynamic parameterization of pipelines, datasets, and linked services, optimizing workflows and generating - Migrated 98% of legacy systems to Azure, with some restricted scripts managed through Windows Schedulers on - Achieved a 95% reduction in manual effort for data analysts through automation, significantly increasing efficiency - Trained and supervised four junior employees, guiding them from knowledge transfer to independently handling project - Organized engaging virtual team-building activities during COVID-19 to boost morale and maintain team connection in a remote work environment