About

Guruprasad S is an experienced software and big data engineer with a demonstrated history of working in the retail, information technology, and services industries. With a Bachelor of Engineering degree in Electronic and Communications Engineering from Visvesvaraya Technological University, he has a strong engineering background and is skilled in Java, Scala, Python, Apache Spark, Apache Kafka, Hadoop demons, Apache Airflow, Spring MVC, Hibernate, Microservices, Containerization, Advanced SQL, plSql, J2EE, and other scripting languages. Currently excelling as a Big Data and Data Science Engineer in a retail business space, Guruprasad has demonstrated skills in data pipeline using Spark, analytical data-model creation, data wrangling, ETL pipeline, and real-time streaming interactions. He is currently working as a Strategic Cloud Data Engineer at Google, where he is responsible for SCE Data, Technical Solution Consultant, and Google Cloud Professional Services. In his previous position as a Data Engineer at Lowe's India, Guruprasad designed and developed a dashboard on Grafana to enable the Oozie Job SLA report and analysis. He also developed and scheduled a data pipeline for periodic data load, designed and developed a scheduler event adapter to listen to the ActiveMQ of scheduler and channelize the same to the sink system for analysis, and developed a standalone Kafka listener service to enable asynchronous communications in the big data platform. Guruprasad has also worked as a Senior Software Engineer at Mindtree, where he was certified on Big Data, Hadoop File Systems, Spark Big Data Process with Scala Language. He worked on Air_Route and Temperature records data-sources for end-to-end implementation for getting insights on complex data, set up Apache Kafka for data center replications and high availability for US-based banking and investments clients, and developed big data applications to build analytics data models, which were deployed on Cloudera Hadoop distribution on AWS environment using Apache Spark 2.2 and persisting the model on Hive and Hbase storages. With over 7.78 years of relevant experience, Guruprasad has a strong tech stack that includes data engineering, big data, Spark, SQL, data scientist, Hadoop, Java, Apache Hive, Kafka, software engineering, Scala, Spring, Cassandra, microservices, Apache Airflow, Python, JavaScript, ETL, AWS, web, Amazon Kinesis, test, Docker, MySQL, Postgres, Azure, GCP,