ACHYUT SAI PASUPULETI

• Designed and implemented data pipelines to enhance data processing efficiency. • Utilized Python and SQL to process and analyze large datasets from various sources, providing actionable insights for supply chain improvements. • Develop ETL/ELT Pipelines: Build data pipelines using Python, SQL, and AWS tools like Glue, Lambda, and Redshift. • Learn Cloud & Scalable Systems: Gain hands-on experience with AWS-based architectures, including data lakes and warehouses.

• Designed and implemented scalable data pipelines using AWS services such as Redshift, S3, Glue, and EMR to handle large-scale data ingestion, transformation, and storage, ensuring efficient data processing and minimal latency. • Develop data warehouse process models, including sourcing, loading, transformation, and extraction. • Verify the structure, accuracy, or quality of warehouse data. • Map data between source systems, data warehouses, and data marts. • Design and implement warehouse DB structures.