About

Amrit Jangid is a highly experienced Lead Data Engineer with almost 8 years of experience in the field. He has a deep understanding of working with large scale distributed systems and is skilled in various technologies such as Spark, Flink, Kafka, Scala, and Kubernetes. Currently working at MoEngage Inc., Amrit is responsible for taking care of the data platform and has successfully scaled the Kafka-cluster to handle 400K events/sec. Amrit has a proven track record of designing and building centralized logging system pipelines to handle 100k+ logs event per second using Filebeat, Kafka, Athena, Redash. He has also built a large scale data warehouse and a Realtime analytics system with Druid. Amrit has built multiple data processing streaming pipelines to solve business use cases with Spark and Flink. Before joining MoEngage, Amrit worked as a Senior Data Engineer at Goibibo, where he used technologies such as Spark, Kafka, Scala, Redshift, and Zookeeper. He was also a core member of the Data Platform Team and was responsible for developing systems for processing and storing transaction data. Amrit analyzed logs data for creating API and statics data using Hive, Hbase, Pig, Impala, Flume, sqoop, MySql, MongoDB, Python, Shell, and R. Amrit completed his Bachelor of Technology (B.Tech.) in Information Technology from Indian Institute of Information Technology (IIIT) in 2014. He is skilled in Data Engineering, Kafka, Spark, Scala, Amazon Athena, Data Warehouse, Kubernetes, Microservices, Software Engineer, MySQL, MongoDB, and Apache Hive. Overall, Amrit is a highly skilled Lead Data Engineer with a deep understanding of distributed systems and a proven track record of building large scale data platforms and analytics systems.