Dev Desai

Dev Desai

Data Engineer @ Searce

About Dev Desai

Dev Desai is a Data Engineer at Searce Inc, where he has worked since 2022. He holds a Bachelor of Computer Application from Ahmedabad University and a Master of Science in Information Technology from Dhirubhai Ambani Institute of Information and Communication Technology.

Work at Searce

Dev Desai has been employed at Searce Inc as a Data Engineer since 2022. In this role, he is responsible for optimizing data workflows for performance and scalability. He has contributed to delivering data-driven insights and value for the organization through his proficiency in cloud technologies. His experience includes hands-on work with Google Cloud Platform products such as BigQuery, Dataflow, Cloud Functions, and Firestore. Dev's role requires him to stay updated with the latest advancements in cloud data technologies.

Education and Expertise

Dev Desai studied at Ahmedabad University, where he earned a Bachelor of Computer Application from 2016 to 2019. He furthered his education at the Dhirubhai Ambani Institute of Information and Communication Technology, obtaining a Master of Science in Information Technology from 2020 to 2022. His academic background provides a strong foundation in computer science and information technology, which supports his current work as a Data Engineer.

Background

Before joining Searce Inc, Dev Desai worked at Oracle as a Junior QA Analyst from 2019 to 2020. This position allowed him to develop skills in quality assurance within software development. Additionally, he interned at Kaushalam Digital Private Limited for one month in 2017, gaining early experience in the technology sector. His career path reflects a focus on data engineering and cloud technologies.

Technical Skills

Dev Desai possesses hands-on experience with various Google Cloud Platform products, including BigQuery, Dataflow, Cloud Functions, and Firestore. He has also explored Amazon Web Services to broaden his expertise in cloud data engineering. His technical skills enable him to contribute effectively to data-driven projects and initiatives within his organization.

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