Upendra Kambhampati
About Upendra Kambhampati
Upendra Kambhampati is a Data Engineer at Delivery Hero in Berlin, Germany, with extensive experience in data engineering and data science.
Current Role at Delivery Hero
Upendra Kambhampati is currently working as a Data Engineer at Delivery Hero based in Berlin, Germany. His responsibilities likely include developing and maintaining data systems, overseeing data integration, and ensuring data quality. He is involved in a re-engineering project using Data Vault 2.0.
Previous Experience at Axel Springer SE
Upendra Kambhampati worked at Axel Springer SE as a Data Engineer from 2021 to 2022. His role for one year in Berlin involved data engineering tasks, which could have included building data pipelines and working on data warehousing solutions.
Tenure at MYTOYS GROUP
Upendra Kambhampati has a significant tenure at MYTOYS GROUP, where he worked from 2015 to 2021. Initially, he served as an Application Developer - ERP for two years, focusing on enterprise resource planning systems. He subsequently transitioned to the role of Data Warehouse Engineer, where he was employed for four years. His work here would have involved data warehousing solutions and integration.
Role at HITACHI Consulting Co., Ltd.
Before his tenure in Berlin, Upendra Kambhampati worked as a Senior Consultant at HITACHI Consulting Co., Ltd. from 2010 to 2014. For four years, he contributed as a consultant, which likely involved advising clients on various business and IT strategies.
Educational Background
Upendra Kambhampati pursued his Master's in Project Management and Data Science at Hochschule für Technik und Wirtschaft Berlin from 2018 to 2020. His studies focused on Statistical Analysis, Project Management, Law, and Cultural Communication. He completed his Bachelor of Technology (B.Tech.) in Information Technology at Bharat Institute of Engineering and Technology from 2006 to 2010.
Technical Skills and Interests
Upendra Kambhampati is proficient in SQL, PLSQL, Python, Oracle ERP, SQL Developer, Unix, and Data Vault 2.0. He has strong skills in Dimensional Modeling and is interested in developing predictive models using Python, Data Science, and Machine Learning.