Dynamic and technically advanced professional with 10+ years of experience in data engineering and management. Proven track record of success in delivering effective analysis and prediction of structured and unstructured data through utilizing latest available tools and technologies. Instrumental in leveraging Sparks, Hive, AWS, AWS Athena, AWS Glue, AWS Redshift, AWS Zeppeline, Databrick Cloudera, Jupyter notebook on EMR, AWS SageMaker, AWS Kinesis, Quicksight, and EC2. Skilled in selecting appropriate AWS services to design and implement an application based on given requirements. Experienced in using Hadoop ecosystem tools i.e. MapReduce, HDFS, Pig, Hive, Sqoop, and Spark. Adept predicting customers to be approved for loan and credit card by means of Machine Learning Tools. Demonstrated ability to contribute in the development of key frameworks, including Python, SQL, Pandas, AWS as well as dealing with data pipelines and automation tooling. Analytical professional with excellent problem-solving skills. Areas of Expertise • Data Visualization • Data Management • Machine Learning Tools • Data Analysis & Forecast • Maintenance & Installation • Delivering Technology Solutions • Stakeholder Management • Excellent Communication • Team Building & Leading Other Career Highlights • Well versed in installation, configuration, and management of Big Data and underlying infrastructure of Hadoop Cluster. • Expertise in using Machine Learning tools such as Logistic Regression, Decision Tree, Random Forest, and Kmeans Clustering for structured and unstructured data. • Gained in-depth understanding of database types, data warehousing, data manipulation as well as computer programming languages e.g. SQL, Hive, and Sqoop. • Involved in maintenance and installation of computer peripheral devices such as printers and resolve associated problems. Network cabling and switch configuration. • Attained substantial knowledge on spark components like Spark SQL, MLib, Spark Streaming, and GraphX. • Capable of fostering and fortifying enduring stakeholder relationships with the business and technical teams.