About

Sumit Agrawal is a seasoned Senior Software Engineer at Gojek with over 10 years of relevant experience in the IT industry. He has a diverse background in storage, processing, and analytics of various datasets, making him an expert in designing and developing scalable ETL workflows. Sumit started his journey in the IT industry by migrating complex stored procedures from Sybase to Oracle 10g for Invesco at TCS. He then moved on to developing map-reduce jobs, hive and impala queries, Sqoop import, and Oozie workflows in the Hadoop ecosystem (Cloudera distribution) for Nielsen's Digital-Ad-Rating product at TCS. Currently, Sumit is creating end-to-end data warehousing ETL processes with AWS Redshift, Redshift Spectrum, and S3. He is also batch processing server logs with Spark and using Kafka for real-time streaming of server logs/articles to ElasticSearch cluster, enabling businesses to access data in near real-time. Sumit's expertise in software engineering, ETL, AWS, Spark, product management, data engineering, Hadoop, Elastic Search, Kafka, and Apache Hive has made him an invaluable asset to his current and past companies. He has previously worked with dkatalis as a Data Engineer and Continuity 1 as a Big Data Developer. Sumit completed his Bachelor's of Engineering in Information Technology from Savitribai Phule Pune University in 2012. He also holds a Diploma in Information Technology from Government Polytechnic, Jalgaon, and completed his Secondary School Certificate from S. G. S. Highschool, Pachora, in 2001. Overall, Sumit's expertise and experience in the IT industry make him an ideal candidate for any software engineering or data-related role.