Ashok Kumar Murugesan's Linkedin Analytics

Acquisitive knowledge on solving large scale data analytics problems with Hadoop 2.0, Spark 2.6, and its eco-components like Sqoop, Kafka & Hive using Cloudera, Hortonworks, MapR distribution, AWS cloud services and developing the dashboards for business insights. Developed the Rest APIs with Spring boot & Flask to interact with external Marketing & Sales tools utilizing its APIs. In-depth business and technical knowledge in developing Marketing, Risk platform analytics applications in Healthcare, Banking, Payments & Settlement(ACH) applications in Retail. SKILLS Hadoop components: HDFS, MapReduce, YARN, Hive, Sqoop, Airflow, HBase API, Hadoop distribution like Hortonworks, MapR, Spark core, Spark SQL, PySpark Tools: Tableau, JIRA, Git, Oozie, Autosys, Tidal Analytics/BI: Data Modelling, Data Normalization, Data Warehousing, ETL, Oracle, MySQL server Languages: Java, J2EE, Rest API, Spring boot, JAX RS, Maven, CRUD, ORM, Hibernate, RDBMS, Unix scripting, Python, NumPy, Pandas Cloud Computing: AWS Glue, Lambda, S3, EMR, Snowflake & RedShift Key Responsibilities performed: • 7+ years of experience in designing, developing and productionalizing robust end to end data pipelines which consolidate data from various batch or streaming sources • 6+ years of experience in log analytics with Hadoop with user click and cookie id and developed attribution model for digital marketing campaigns as per Business need • Proven knowledge in major big data distributions such as Cloudera & MapR distributed Hadoop • Expertize in Hadoop architecture & its core components and eco-components such as Sqoop, Spark, Hive, Yarn, Oozie, and Zookeeper • Thorough understanding of distributed storage and processing of large amount of data sets and different daemons of Hadoop clusters which include Resource Manager, Node Manager, Application Master, NameNode and DataNode etc.