Pooja Sharma, Csqa, Csm ,Google Ace
About Pooja Sharma, Csqa, Csm ,Google Ace
Pooja Sharma is a Data Engineering Manager with extensive experience in data engineering and quality assurance. She has worked at Digital River, Cargill, and Regis Corporation, and is skilled in cloud technologies and big data tools.
Current Role as Data Engineering Manager
Pooja Sharma currently holds the position of Data Engineering Manager at Digital River, where she has been employed since 2022. In this role, she leads cross-functional initiatives related to migration projects. Her responsibilities include managing data governance and federation policies for both internal and external clients. Pooja's leadership in data engineering emphasizes the integration of cloud technologies and big data solutions.
Previous Experience at Digital River
Pooja Sharma has a significant history with Digital River, having worked there in multiple capacities. She served as a Senior Quality Assurance Engineer from 2017 to 2020 and then transitioned to the role of Principal Data Engineer from 2020 to 2022. During her tenure, she contributed to various projects that enhanced the company's data processing capabilities and quality assurance practices.
Work Experience at Cargill and Regis Corporation
Before her roles at Digital River, Pooja worked as a Senior Consultant at Cargill for 11 months in 2015-2016. She also held a similar position at Regis Corporation from 2011 to 2014 for three years. These roles provided her with valuable experience in consulting and project management within the data engineering field.
Educational Background in Computer Science
Pooja Sharma earned her Bachelor's degree in Computer Science from K C College of Engineering, where she studied from 2001 to 2006. This educational foundation equipped her with essential knowledge and skills that she has applied throughout her career in data engineering and quality assurance.
Technical Skills and Expertise
Pooja Sharma possesses extensive technical skills in cloud technologies, particularly with Google Cloud services such as Dataflow, Pubsub, and Big Query. She is experienced in big data technologies including Hadoop, Hive, and Kafka. Additionally, she is proficient in programming languages such as Scala, Java, and Python, and is familiar with various database query languages including SQL and MongoDB. Her expertise extends to using a range of testing and development tools.