Experienced Big Data Engineer with a proven track record of delivering innovative solutions and driving business insights through data analysis. With four years of hands-on experience in designing and implementing large-scale data processing systems, I excel in optimizing data pipelines and integrating diverse data sources for actionable business intelligence. My expertise lies in Hadoop, Spark, AWS and HIVE combined with strong problem-solving skills and a passion for data-driven decision-making. Designed and implemented robust data pipelines, optimizing data ingestion, transformation, and storage processes, resulting in a 20% increase in data processing efficiency. Led the integration of multiple data sources, enabling cross-functional teams to access and analyze real-time and historical data for critical business decisions. Developed and deployed scalable machine learning models, improving predictive analytics accuracy by 15% and enabling proactive identification of potential operational bottlenecks. Collaborated with stakeholders to define data requirements, ensuring alignment with business goals and enabling the development of actionable insights for strategic decision-making. Implemented data governance frameworks, ensuring data quality, compliance, and security across the organization. Mentored and trained junior team members, fostering a culture of continuous learning and professional growth within the data engineering team.