 Having 16+ years of Experience in Big Data/Hadoop-Spark and Scala/Java/Python development. Experience in distributed computing and Big Data Technologies Spark, Kafka, Streaming, Hadoop, Map Reduce, HDFS, Pig, Hive, Oozie and No SQL database MongoDB, HBase and Storm. Worked extensively on development and optimization using Spark RDD, Dataframe, Dataset and Graphx Exposure to different AWS services like S3, EMR, EMR-Autoscaling, EC2, Lambda Function Exposure to AZURE services like ADF (AZURE Data factory), Storage, Data Lake, Data lake analytics Exposure to orchestration platform like kubernetes and containerization platform like Docker Worked extensively on performance tuning and job optimization  Exposure to descriptive statistics, Machine learning using Python and R Exposure to Supervised algorithms like Logistic regression, Decision tress, Ensemble method – Radom forest. Unsupervised algorithms like K-Means clustering, Association Expertise in Java programming (Streaming, Serialization, Hadoop I/O) Exposure in Spring Framework, Hibernate, JSF SEAM design and implementation. Experience in POC Designing, implementation and case studies. Experience in using Agile methodologies Possess very good exposure to the entire Software Development Life Cycle. Worked onsite at Panasonic Seattle for 2 months, at Vocollect Pittsburg for 1.5 months and Dusseldorf Germany for 1.5 months.