Over 5 years of IT experience in Data Engineering and Software Development across various business domains. Strong expertise in building ETL pipelines for batch and streaming data using Scala-Spark, PySpark, and SparkSQL. Extensive experience with AWS and Azure cloud technologies, including EC2, EMR, S3, Lambda, Athena, Redshift, ADLS, Azure Databricks, ADF, and Blob Storage. Skilled in Data Engineering technologies like Hadoop 2, Spark, and Elastic MapReduce. Innovative data scientist with a robust background in machine learning, statistical analysis, and predictive modeling. Skilled in translating complex datasets into actionable insights that drive decision-making and business strategy improvements. Demonstrates strong problem-solving abilities and mastery of Python, R, SQL, and data visualization tools. Previous work has led to significant enhancements in operational efficiency and revenue growth through data-driven strategies.