About

Shivani Teotia is an experienced Business Intelligence Developer at World Fuel Services with 8.19 years of relevant experience in data engineering and analytics. She specializes in analyzing and capturing data migration requirements from different sources, implementing and managing continuous data migration methodologies on AWS Cloud, and automating file transfer to AWS cloud by writing lambda functions in Python, reducing transfer time by 80%. In her current role, Shivani provides business reports in Tableau to Kinect Energy client for WFS. She uses various tools such as Python, SQL, Tableau, AWS Glue, AWS Lambda, AWS Athena, and AWS Informatica Cloud to accomplish her tasks. Shivani has also worked as a Graduate Consultant at LIMRA, where she translated client requirements into business problems, processed massive datasets, and developed predictive models to identify the most profitable agents and factors that cause customers to lapse their policies. She also created interactive dashboards in Tableau to track agent-level and policy-level data for clients. Shivani has worked as a Data Engineer Intern at Express Scripts, where she facilitated the Information Lifecycle Management team in conducting a Proof of Concept to re-architect the archival strategy to Hadoop. She conducted performance tuning in Hive different formats, leading to data compression by 80%. She also performed data ingestion from Oracle database to HDFS using SQOOP and implemented a proprietary algorithm to predict whether a patient will be adherent to their medication or not, leading to an increase in adherence by 80% by taking proactive actions. Shivani holds a Master's degree in Business Analytics and Project Management from the University of Connecticut School of Business and a Bachelor of Technology in Electrical, Electronics, and Communications Engineering from Krishna Institute of Engineering & Technology. She also attended Sophia Girls School. Shivani's tech stack includes AWS, SQL, Python, AWS Glue, Amazon Athena, Data Engineering, HDFS, Hadoop, and Apache Hive.