About

Murugan C is a Lead Data Engineer with over 9 years of experience in the field. He has extensive expertise in Big Data technologies, including HDFS, Sqoop, Hive, Spark Core, Spark SQL, Streaming, Kafka, YARN, HBase, Phoenix, Oozie, Scala, Python, and Cloud platform of AWS (S3, EC2, RDS, Athena & Redshift). He has also worked in RDBMS like Oracle, MS SQL Server, Teradata, and MYSQL and has good knowledge of NOSQL databases like HBase. Murugan has worked in Agile methodology for the past 5.5 years, and his experience includes Bigdata Engineering, Stream Processing, Scala, Python, Hadoop, Apache Spark, Hive, SQOOP, AWS Redshift, Athena, Oracle, Kafka, and NoSQL. He also has expertise in AWS Cloud Platform (AWS Redshift, Athena, and S3). Currently working at Capgemini as a Lead Data Engineer, Murugan's responsibilities include working in Oracle SQL & PL/SQL, Linux, SQOOP, Hive, Pyspark, and AWS (S3, RDS, Redshift, and Athena). In the past, he has worked with Accenture as a Data Engineer, where he created analytics pipeline using Big Data, Spark, and related technologies. He successfully built and delivered various data pipelines as per the client's requirement and developed Sqoop and hive scripts to ingest the data into Hive tables. Murugan also worked with Wipro as an Oracle Developer, where he worked on SQL, SQL Server, MySQL, and ORACLE PL/SQL. He has a Bachelor's degree in Computer Science from Anna University. Overall, Murugan has 11.53 years of relevant experience in Data Engineering, AWS, SQL, Spark, Amazon Athena, Apache Hive, Big Data, NoSQL, Kafka, Python, Scala, HDFS, MySQL, and Hadoop.