Result-driven Data engineer with a passion to build valuable and secure Products to help businesses served community needs and make data driven decisions. Strong experience in building data platforms using Python, Django, SQL and AWS tools. Expertise in product development using python programming language with knowledge of AWS Implementations. Implemented CI/CD pipelines for automated testing and deployment of ETL processes, ensuring rapid and reliable data pipeline updates. Extensive experience in designing, implementing, and optimizing ETL processes using AWS Glue and skilled in creating and maintaining data catalogs, managing metadata, and orchestrating complex workflows. Engineered in designing and implementing scalable data warehouses using Amazon Redshift and hands-on experience with optimizing query performance and managing large datasets efficiently. Proficient knowledge in Software Development Life Cycle (SDLC) and Software Testing Life Cycle using Azile methodology. Utilized Python in the handling of all hits on Django, Redis, and other application Experienced in designing, deploying, and managing cloud solutions leveraging various Azure services, including compute, storage, networking, databases and analytics to deliver scalable and innovative solutions that meet business objectives. Skilled in leveraging Snowflake data platform for building scalable and high-performance data warehousing solutions.