3.10 years of IT experience as a Big Data Developer and Data Engineer with different roles including development, implementation, and support of applications. Good experience with data ingestion using Spark transformations, ETL, Spark SQL, and performance tuning. In-depth understanding of Spark architecture, including Spark Core, Spark SQL, and data frames. Involved in the data ingestion pipeline for sourcing daily data to AWS S3 using PySpark. Experience working on Agile/Scrum methodology. Experience in writing Spark applications using PySpark in Python, and data analysis Python library Pandas. 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.