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Prakash Rai has a significant amount of experience in the field of data engineering. Prakash started their career at UnitedHealth Group as a Hadoop Developer, where they worked on the complete software development life cycle. Prakash was responsible for gathering requirements, implementing functionalities, and testing the project. Prakash also worked on loading log data into HDFS using Flume and creating MapReduce jobs for data search and aggregation.

After that, Prakash joined Charter Communications as a Big Data Engineer. Here, they focused on building scalable distributed data solutions using Hadoop and Spark with Scala. Prakash installed and configured various data processing tools such as Hive, Pig, Sqoop, and Oozie. Prakash also migrated and developed daily running jobs to EMR Spark and Scala.

Following their time at Charter Communications, Prakash joined Intuit as a Senior Data Engineer. Here, they were involved in analysis, design, and system architectural design. Prakash worked on loading data from multiple sources into HDFS using Sqoop and Hive tables. Prakash also developed Big Data workflows using MapReduce, Pig, Hive, and Sqoop.

Prakash then moved to Wells Fargo as a Senior AWS Data Engineer. Here, they developed Apache Spark applications using Python and Scala and implemented data processing projects on AWS. Prakash designed and developed AWS architecture, conducted ETL data integration and transformations using AWS Glue and Spark script. Prakash also worked on ETL migration services using AWS Lambda functions.

Prakash'smost recent experience is at Takeo, where they hold the position of Senior AWS Data Engineer. Specific details about this role are not provided.

Prakash Rai completed their education from 2013 to 2017 at Lovely Professional University. During this time, they pursued a Bachelor of Science degree in Information Technology (BSc IT) with a focus on Information Technology.