Highly skilled and experienced Data Engineer proficient in Spark, Big Data technologies, Python, SQL, Azure, and AWS. Skilled in designing and implementing efficient data processing workflows to derive actionable insights. Expertise in Azure Data Factory, Azure Data Lake Storage, and Azure Databricks for seamless data ingestion, transformation, and loading. Extensive work with AWS, utilizing AWS Glue and AWS Lambda for scalable and automated data processing.Proficient in Snowflake, enabling organizations to unlock the full potential of their data assets. Excels in optimizing data pipelines, ensuring data quality, and employing advanced techniques for efficient processing of large volumes of data. Strong problem-solving skills, effective communication, and collaboration abilities. Translates complex technical concepts into actionable insights, driving business growth.Delivers high-quality results within project deadlines, continuously staying updated with the latest advancements in the field. Seeking new challenges to contribute to organizational growth. Eager to leverage expertise in Spark, Big Data, Python, SQL, Azure, and AWS to drive data-driven initiatives and empower organizations with valuable insights.Let's connect to explore collaborations and discuss how my skills can add value to your data engineering needs.