With around 5 years of experience in data engineering, I specialize in designing, developing, and optimizing scalable data solutions using Azure and AWS cloud technologies. I have a strong background in building and maintaining complex data pipelines, managing large-scale datasets, and implementing ETL/ELT processes to support business intelligence and analytics. My expertise includes working with Azure Data Factory, Databricks, Azure Synapse, AWS Glue, and Redshift to deliver high-quality data solutions for diverse business needs.I have successfully led projects involving real-time and batch data processing, leveraging technologies like Apache Spark and Python to transform and analyze data efficiently. I am skilled in designing cloud architecture, developing data models, and implementing robust data warehousing solutions. My experience also extends to creating automated data workflows, optimizing performance, and ensuring data quality through continuous monitoring and testing.I also believe in collaborative environments and enjoy solving complex data challenges to drive business insights and decision-making. With a strong foundation in both Azure and AWS ecosystems, I am passionate about utilizing the power of data to unlock opportunities and support strategic goals. Whether working in Agile teams or independently, I am committed to delivering impactful data solutions that meet and exceed business expectations.