• More than 8 years of experience concentrated on implementing BI, Analytics, IoT, and Machine learning solutions on Big Data platforms including large scale data lake systems. • Experienced in Real-Time Data Ingestions, Processing and Fraud Analytics. • Hands-on development experience in Hadoop, Spark, Flink, Kafka, ActiveMQ, Apache Camel, Eventhub, Stream Analytics. • Thorough understanding of big data technologies like Spark, M/R, Hive, Tez, HBase,Cassandra, Sqoop, Apache Nifi , etc. • Implemented Data Lake Accelerators for Batch and Stream Processing for AWS, Azure, and On-premise Systems • Implemented Real-time analytics and big data processing for the Internet of Things from Sensor Data of Largest Electrical Instruments Manufacturer. Worked with Azure Stream Analytics and PowerBI to create easy Solutions for Real-time Problems • Extensive experience in Teradata, Informatica Power Center, Informatica Big Data Edition and Intelligent Data Lake • Developing wrapper shell scripts and understand code review, Implement Best Practice, deployment, propagation, and maintenance processes. Worked on governance tools like Ranger auditing, Kerberos authentication, Apache Knox, etc • Ability to communicate analytical results in a way that is meaningful for business stakeholders and provide actionable insights. Have executed various projects from Proof of Concept to Client Production environments.