As an AWS Data Engineer at Acrotrend, a customer insights and analytics company, I design and implement big data solutions on the AWS environments, with a focus on data lake projects. I have 1.8 years of experience in this role, and I have successfully delivered multiple data pipeline workflows for efficient extraction, transformation, and loading (ETL) processes, using tools and services such as S3, Glue, Spark, Athena, Lambda, DynamoDB, RDS, Step Function, Cloud Formation, and Redshift.I also have a strong background in data quality, data migration, and data visualization, leveraging my programming and scripting skills in Python and Pyspark, and my proficiency in Power BI. I graduated with a Master of Computer Applications (MCA) degree from NMIMS in 2022, where I studied computer science and learned various technologies and frameworks. I am passionate about solving complex data problems and delivering value to clients and stakeholders. I work with an agile mindset and collaborate effectively with my team and other departments, using tools such as Scrum, JIRA, and Confluence.