Sameera Prasad
About Sameera Prasad
Sameera Prasad is a Senior Data Engineer currently employed at Kforce Inc. and Nike since 2023, with a background in data engineering and analytics across several companies including Deloitte and Accenture.
Work at Kforce
Sameera Prasad has been employed at Kforce Inc. as a Senior Data Engineer since 2023. In this role, she is responsible for managing and optimizing data processes. Her work involves collaborating with various teams to ensure data integrity and availability for decision-making processes.
Experience at Nike
Currently, Sameera Prasad also holds the position of Senior Data Engineer at Nike, where she has worked since 2023. Her responsibilities include collaborating with project management and business teams to define requirements for retail listings. She engages in resolving analytics challenges by designing cloud-based data architecture for Nike's supply chain inventory team.
Previous Roles and Experience
Before her current roles, Sameera Prasad worked at Deloitte as a Data Engineer from 2021 to 2023. She developed cost data and billing reports for Meta/Facebook Inc. Additionally, she served as a Data Engineer at Amgen from 2020 to 2021 and held a position as a Fraud Analyst Intern at Bloomin' Brands, Inc. in 2019. Her early career included a role as a Data Engineer at Accenture from 2016 to 2018.
Education and Expertise
Sameera Prasad earned her Master's degree in Business Analytics Information Systems from the University of South Florida, studying from 2018 to 2019. She also holds an Executive MBA in Project Management from the University of the Cumberlands and a Bachelor's degree in Electronics and Telecommunications Engineering from KJ Somaiya College of Engineering. Her educational background provides a strong foundation for her work in data engineering.
Technical Skills and Projects
Sameera Prasad has demonstrated expertise in various technical areas. She enhanced the existing application dashboard of the EDL platform using Python, Flask, S3, EC2, DMS, and Kubernetes. Additionally, she optimized and maintained Spark jobs for data migration from AWS EMR to Databricks and Snowflake on AWS Cloud using Pyspark and SQL.