I am result oriented, quick learner perpetuating to explore the realm of Data Engineering. Experienced data engineer with a demonstrated history of working on data products and technologies. Currently working as data engineer in the product and technology team of Nine Entertainment, a market leader in radio and television broadcasting, newspaper publications and digital media. • 6 years of experience in Big Data ecosystem related Technologies • 6 years of experience in installing, tuning & operating Scala, Apache Spark Core, Spark SQL, Spark Streaming & Spark MLlib • Developed flight simulator application for Hadoop stack Training using JAVA, JQuery, JSP, Hive, Pig & Spark stack • Excellent understanding & knowledge of Hadoop architecture & various components such as HDFS, YARN & MapReduce programming paradigm • Hands-on experience in installing, configuring & using Hadoop ecosystem components like Hadoop MapReduce, HDFS, HBase, Hive, Pig, Sqoop, Zookeeper, Oozie, Ambari, Flume, NiFi and Kafka • Hands-on experience in installing, configuring & using Elastic Stack for Log Analysis • Excellent knowledge of Data Analytics using Python • Knowledge of Deep Learning using TensorFlow • Hands-on experience in web services in JAVA using JavaScript, JSP, Servlets Core Competencies: • Big Data Technologies: Hadoop, Map Reduce, YARN, Hive, Pig, Sqoop, Kafka, Flume, NiFi, Oozie, HBase, Zookeeper, Apache Spark (Scala, PySpark) • Programming Languages: Java, Python, R Programming, Golang, Scala, C++ • Data Science Tools: R, Python (NumPy, Pandas, Scikit) • Business Intelligence Stack: SQL Server, Power BI • Elastic Stack: Elasticsearch, Logstash, Kibana, Beats • Visualization & Analytical Tools: R Programming, D3.js, Tableau • Database: Oracle 10g, MS SQL Server, MongoDB, Couchbase • Scripting Languages: Unix Shell, Python, Scala, JavaScript • Cloud Technologies: Google Cloud Platform, IBM Bluemix