12 years of IT experience as Big Data Developer/ETL with Hadoop and Spark using Python, scala.  In-depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming.  Strong knowledge in Hadoop ecosystems like HDFS, Hive, Pig, Yarn, Sqoop, Flume, HBase, Oozie, Zoo Keeper and Kafka.  Numpy, Pandas, scikitLearn.  Experience in working with Amazon Web Services (AWS), EC2, EMR and S3.  Experience in working with Azure, Adls, azure data factory, synapse db, cosmos db.  Worked on Azure databricks.  Worked in Scrum, Agile.  ETL Solution Architecture for Enterprise Level Data Warehouse/ Data Marts  Data Modelling for Normalized OLTP based as well as Dimensional Modeling  Well versed with bill inmon (top down approach) vs ralph kimball (bottom up approach) way of data modeling  SQL Server 2008, 2012, 2016  Microsoft BI (SSIS, SSAS)  Informatica 9.x, 10.x Power Center  Unix Shell Scripting Domain knowledge - insurance (claims & policy) - Banking (Consumer Business and Mortgages) -Telecom