Experienced Data Engineer with 5+ years of expertise in designing and implementing robust data pipelines and ETL processes across major cloud platforms including AWS, Azure, and GCP. Proficient in SQL and Python, with a proven track record in optimizing queries and scripts to enhance data processing efficiency and scalability. Skilled in big data technologies such as Hadoop, Spark, and Kafka, ensuring reliable and real-time data processing in high-volume environments. Adept at leveraging cloud data services like AWS Redshift, Azure Synapse, and GCP BigQuery, with hands-on experience in migrating on-premises data to cloud-based solutions. Expert in CI/CD practices, automating data pipeline deployments with tools like Jenkins, Git, and Docker to ensure continuous integration and delivery. Proficient in automating workflows using Python and cloud tools like GCP Cloud Composer and Cloud Functions. Experienced in building and maintaining scalable data solutions, creating interactive Tableau dashboards for actionable insights, and optimizing large-scale data processing tasks with Hadoop ecosystems. Committed to leveraging cutting-edge technologies to drive business intelligence and operational efficiency.