Bhagat Ghugtyal
About Bhagat Ghugtyal
Bhagat Ghugtyal is a Data Engineer II at TomTom with extensive experience in data engineering and AI technologies.
Current Role at TomTom
Bhagat Ghugtyal is currently a Data Engineer II at TomTom. He has been with the company since 2022, working in the Amsterdam Area. In his role, he focuses on various aspects of data engineering, ensuring the efficient design and implementation of data ingestion frameworks using technologies such as Azure Event Hubs and HDFS. His work involves handling both batch and streaming data processing, leveraging his extensive experience and expertise in this domain.
Previous Experience at Zalando
In 2022, Bhagat Ghugtyal worked as a Data Engineer at Zalando in Berlin, Germany. During his six-month stint, he contributed to significant projects involving data engineering and processing. He played a role in developing and managing data architectures and workflows, applying his advanced skills in batch and streaming data processing.
Senior Data Engineer at Singtel
From 2020 to 2022, Bhagat Ghugtyal was employed by Singtel in Singapore as a Senior Data Engineer. Over his two-year tenure, he was responsible for advanced data engineering tasks and played a pivotal role in implementing effective data processing mechanisms using scheduling frameworks such as AWS Step Functions and Databricks Workflows. His contributions were integral to the technology infrastructure at Singtel.
Role at Kelly Services Singapore
Bhagat Ghugtyal worked as a Java Big Data Developer at Kelly Services Singapore from 2018 to 2020. During these two years, he specialized in using Java for big data applications and was involved in the development and integration of large-scale data solutions. His expertise in version control tools like SVN and Git facilitated effective team collaboration and project management.
Education and Technical Skills
Bhagat Ghugtyal earned his Bachelor of Technology (B.Tech.) from Dr. A.P.J. Abdul Kalam Technical University, where he studied from 2010 to 2014. He has developed a robust skill set that includes proficiency in tools and technologies such as PowerBi, Tableau, TensorFlow, and Keras. His competence extends to CI/CD tools like GitHub Actions and Azure DevOps, which he uses for efficient software development and deployment. Additionally, he excels in both batch and streaming data processing realms, and his hands-on experience with distributed data ingestion frameworks highlights his qualifications as an advanced data engineer.