Having experience in software design, development, implementation, and support of business applications for the healthcare, supply chain, banking, and insurance industries, experience in big data Hadoop, Hadoop Ecosystem technologies like MapReduce, Sqoop, Flume, Kafka, Pig, Hive, Spark, Storm, HBase, Oozie, Matillion, Zookeeper, and Zenbooks, hands-on experience in SQL. Knowledge of Java, Scala, and Python Programming Skills, working on public cloud – AWS, Azure, GCP, and Experience in working with data visualization and analytical technologies, well-versed with Design and Architecture principles to implement Big Data Systems, Used Python and several Python packages like Pandas, NumPy, and Matplotlib to build machine-learning statistical models and manipulate data,Experience in other AWS services like S3 bucket using Lambda, EC2, EMR, IAM, and Redshift, Experience with Orchestration and Data Pipelines like AWS Step functions/Data Pipeline/Glue,Experience on the GCP platform on IAM roles, migration of applications using Pub/Sub, Cloud Storage, Big Query, dataflow, data proc, and Airflow.,Good knowledge of Azure cloud services like Azure SQL DW, HD Insights cluster, Blob, Azure data factory, ADLS Gen2, Delta Lake, data bricks, and Snowflake, experience in developing SQL scripts for automation purposes, involved in testing the SQL, Looker reports, and Snowflake DB Scripts, knowledge of importing data for use in reporting software like Tableau, Looker graphs, flowcharts, and control tower internal analytical dashboard, providing technical assistance, problem resolution, and troubleshooting support, experience in implementing projects both in Agile and Waterfall methodologies, strong analytical and problem-solving skills, highly motivated, good team player with good communication skills, and interpersonal skills.