• IT professional with 8+ years overall experience, specialized in Big Data ecosystem, Data Acquisition, Ingestion, Modeling, Storage Analysis, Integration, Data Processing, and Database Management.• Experience in application development, implementation, deployment, and maintenance using Hadoop and Spark-based technologies like Cloudera, Hortonworks, Amazon EMR, Azure SQL, Azure Data Factory, Azure Data Bricks, Azure Data Lake, Azure HDInsight.• A Data Science enthusiast with strong Problem solving, Debugging, and Analytical capabilities, who actively engage in understanding and delivering to business requirements.• Ample work experience in Big-Data ecosystem - Hadoop (HDFS, MapReduce, Yarn), Spark, Kafka, Hive, Impala, HBase, Sqoop, Pig, Airflow, Oozie, Zookeeper, Ambari, Flume.• Good knowledge of Hadoop cluster architecture and its key concepts - Distributed file systems, Parallel processing, High availability, fault tolerance, and Scalability.• Complete knowledge of Hadoop architecture and Daemons of Hadoop clusters, which include Name node, Data node, Resource manager, Node Manager, and Job history server.