Having good experience in Business solution, Strategic Planning, AI, Business Analytics and Distributed System. Design E2E solution of Data Flow, Data Quality in Banking domain. Implement scalable system and automate processes to handle huge volume of data for Analytics and Data Science. I have developed strong data analytics/advanced analytics and architecture using Cloudera Hadoop Ecosystem (HDFS, Hive, Sqoop, Oozie, YARN, and MapReduce) focusing on Apache Spark, Java, and Python with PySpark and Kafka and a strong experience in using cloud platforms like AWS, GCP, Azure, and Cloudera to design scalable systems.Currently, I am associated with NatWest as a Vice President of Data Engineering, where I have design data processing pipeline in AWS, Azure, Databricks, Spark, Scala, Kafka, Python, integration and E2E test in ROBOT framework. Also, automate the processes with TeamCity/ CI-CD pipeline with Jenkins and Kubernetes.I have proven success in all the phases of project life cycle including data ingestion, data loading, data migration, data cleaning, data engineering, data analysis, data transformation, data modelling, testing and validating, managing and monitoring across the environment. I can work as well as maintain effective communication with cross-functional teams, clients, and employees from diversified backgrounds & geographies.My educational background includes Executive Program in Data Science, MSc in Information Technology, and a Bachelor's degree in Economics. Additionally, I have acquired Advanced Diploma in Computer Application.