- Built consolidated data model in SQL fetching data from 7 internal AWS security applications and created interactive QuickSight report saving manual efforts of ~8 hours per week- Designed and built a single point-of-view tool using Airflow, Redshift, and QuickSight for monitoring pipelines and freshness of data serving ~500 business users- Conceptualized a prototype for a natural language processing model to classify AWS business opportunities using SageMaker for accelerating customer engagement

Technical Skills -- Developed and tested interactive & analytical Power BI reports using DAX (Data Analysis Expressions) which calculate metrics for ~80k Human Resources data points- Designed and built tabular star schema data model involving 300 source tables of different business functions monitoring 150+ enterprise level Key Performance Indicators (KPIs)- Engineered ETL pipeline for Power BI usage using Azure data factory handling 25k activities per week for monitoring, security and planning purposes and audited this with networking security teams- Co-operatively built corporate information model and UI templates ready for Self- Service Business Intelligence, reducing manual efforts and allowing quick report building- Secured data using object-level check, encryption and Azure cloud services allowing restricted access to business usersBusiness/Communication Skills -- Hosted a global Business Intelligence Summit 2019 to present customer stories; showcased marketing project to the CTO; conducted hands-on workshops for educating Power BI community- Managed to collect functional requirements from different business teams like HR, Finance, and Marketing and formulating business requirement documents (BRD)