 10+ years of total experience, working as Lead Data Engineer, have worked in Financial, Retail, Telecom and Manufacturing Domain.  Have very good working experience in Big Data technologies (Hadoop Ecosystems) – Spark, Hive, Sqoop, NoSQL, HDFS, Oozie, Airflow ….  Have good experience in developing Spark programs using Scala, Python and very good Spark debugging skill.  Have good exposure of working on premise – Cloudera, Hortonworks platform as well as cloud platforms - AWS, GCP.  Having good experience of building and deploying large scale and complex data processing pipelines in a production environment.  Having hands on experience in doing Big Data Analysis based on business rules and requirements using different big data analysis & Visualization tools.  Involved in analysis, design, development, testing & maintenance for timely delivery of robust, validated, high-quality Data products as per business requirements.  Have Good knowledge and experience in creating source to target mapping, edit rules and validation, transformations, and data cleansing, based on business rules and requirements.  Hands on experience on different ETL & visualization tools.  Creative thinker and analytical problem-solver with ability to work under the pressure of fast-paced, time-sensitive environments while committed to deliver timely, accurate and quality work.  Decision making ability to establish priorities, credibility, and balance with the organization's competing priorities involving multitasking and the ability to manage & plan work.