A results-driven Data Engineer with expertise in building and optimizing data pipelines, leveraging cutting-edge technologies like AWS (Redshift, Glue, S3), Azure (Databricks, Synapse), Apache Spark, Airflow, and Snowflake. Proficient in programming languages such as Java and Python, with strong experience in data engineering, ETL/ELT pipelines, and cloud-based solutions. Adept at managing big data ecosystems, enhancing data processing efficiency, and ensuring reliable data ingestion through automation and advanced problem-solving. Successfully implemented complex projects in industries including healthcare, Pharma and technology, showcasing a consistent ability to reduce processing times, improve data accuracy, and facilitate seamless data exchange. Holds a B.Tech in Computer Science with a specialization in Machine Learning and certifications in database foundations, machine learning, and system design. Enthusiastic about applying a deep understanding of data structures, algorithms, and cloud computing to drive innovation and organizational success.