With over Two years of hands-on experience, successfully designed, implemented, and optimized data pipelines on the AWS cloud. Proficient in leveraging AWS services such as S3, Glue, and EMR, demonstrating a proven track record of transforming raw data into actionable insights. Adept at building scalable and efficient ETL workflows for both batch and real-time processing. Extensive expertise in designing and maintaining data architectures, ensuring data integrity, and implementing security best practices. Well-versed in programming languages such as Python and SQL, utilizing them for developing custom scripts and queries for data extraction and transformation. Demonstrates a continuous learning mindset, staying updated on the latest AWS technologies and best practices. Excited about leveraging skills to drive innovation and efficiency in a dynamic AWS-centric environment.
AWS Data Engineer (2.4years):
Database :- MySQL, Oracle
undefinedServerless Entity Extraction and Real-time Database Integration with S3, Lambda, and RDS, As a Data Engineer, I led a critical project where we implemented a robust data pipeline. This solution involved Amazon S3 for data storage, AWS Lambda for data processing, Lambda triggers for real-time events, and Amazon RDS for secure data warehousing. This integration streamlined data workflows, reduced latency, and improved data accessibility. We optimized data processing, enhancing data-driven decision-making and maintaining data integrity. This project demonstrated my expertise in efficient data pipeline design and my dedication to achieving business success through data.