DataHour: Data Availability Through Data Lake in Large Organization

Data is a critical asset for any organization. Large organizations generate and collect vast amounts of data every day. However, making this data available and usable across the organization can be a challenge. 

In this DataHour, explore with Vatsal how data lakes can help large organizations make their data available and accessible. He will also walk you through some of the real life examples of the problems Google DSPA faced to procure logistics data and how it was catered.

Prerequisites: Interest in Data Science

Vatsal Mishra is an experienced Data Engineer with 6+ years of experience in building data warehouses for multiple organizations. Currently, he is a key member of the Data Engineering team at Google, where he has been contributing to the development of cutting-edge data solutions for the past 3 years.Throughout his career, Vatsal has gained extensive experience in designing, developing, and maintaining data warehousing systems. He has a strong background in database management, ETL (Extract, Transform, Load) processes, and data modeling. He has worked with a variety of databases and technologies, including SQL, Hadoop, and Spark.At Google, Vatsal has been instrumental in developing and implementing data solutions that have significantly improved data access and processing times. He has also worked on several high-profile projects, collaborating with cross-functional teams to deliver innovative solutions that meet customer needs.Vatsal holds a Bachelor's degree in Electronics and Communication Engineering from IIIT Allahabad and has expertise in several cloud systems including AWS and GCP. He is also an active member of the Data Engineering community, regularly attending and presenting at industry conferences and meetups.