Diganth Sanghvi
About Diganth Sanghvi
Diganth Sanghvi is a Data Engineer with a Master's degree in Data Science from Monash University. He has led significant projects, including a migration to BigQuery, and currently works at KPMG Australia, focusing on data pipeline architecture and project management.
Work at KPMG Australia
Diganth Sanghvi has been employed at KPMG Australia as a Data Engineer since 2022. In this role, he focuses on designing and implementing data solutions that enhance data accessibility and performance. His responsibilities include developing data pipeline architectures and managing data integration projects. Sanghvi's work contributes to KPMG's commitment to delivering high-quality data services to clients in Melbourne, Victoria.
Experience at Kato Solutions
Prior to his current position, Diganth Sanghvi worked at Kato Solutions as a Data Engineer for six months in 2021. During his tenure, he contributed to various data engineering projects, gaining practical experience in data management and engineering practices. This role helped him develop skills that he later applied in his position at KPMG Australia.
Education and Expertise
Diganth Sanghvi holds a Master's degree in Data Science from Monash University, which he completed between 2019 and 2021. He also earned a Bachelor's degree in Electrical and Electronics Engineering from Kalinga Institute of Industrial Technology, Bhubaneswar, from 2014 to 2018. His educational background provides a strong foundation in both data science and engineering principles.
Data Engineering Projects and Achievements
Diganth Sanghvi has led significant data engineering projects, including a migration project from a server-based Greenplum warehouse to BigQuery, which resulted in a 16% improvement in performance and a 32% increase in data availability. He also optimized an ETL workflow in tray.io, developing an algorithm that reduced data loading time by 50% during a migration from Microsoft SQL Server to BigQuery.
Technical Skills and Tools
In his roles, Diganth Sanghvi has utilized various tools and technologies to enhance data processes. He designed a data pipeline architecture using serverless ELT/ETL with Docker containers and served as a Delivery Consultant and Engagement Manager for projects focusing on Looker configuration and development. He employs JIRA for task tracking and sprint planning, and Confluence for documenting process flows and business requirements.