As a Data Engineer with over three years of hands-on experience, I specialize in designing, implementing, and supporting diverse big data applications using Python, Apache Spark, SQL, and AWS. My expertise spans the entire project lifecycle, from requirements gathering to architecture design, development, and performance optimization.I am proficient in AWS cloud technologies such as S3, DMS, Glue, RDS, Lambda, and more. I excel in data extraction, cleaning, processing, and reporting across structured and non-structured datasets. My skills in Python and other programming languages enhance task management efficiency, especially in Agile environments where collaboration is key.In my current role at Zetation System Private Ltd., I have successfully designed and implemented multiple ETL pipelines leveraging AWS Glue to seamlessly transfer data from various sources to Amazon Redshift and Snowflake for analytics purposes. I have also utilized AWS services to ensure optimal performance, scalability, and cost-effectiveness for large-scale data processing tasks.My professional experience includes:Constructing and overseeing Redshift Data Warehouse.Designing and implementing ETL pipelines for Snowflake Data Integration.Collaborating with stakeholders to ensure data accuracy, integrity, and actionable insights for decision-making.I am a quick learner and adapt readily to new technologies and business domains, ensuring versatility and alignment with evolving industry trends. I am passionate about data engineering and continuously seek to enhance my skills and knowledge in this dynamic field.