ACHYUT SAI PASUPULETI

• Also worked on gathering list of customer data sources for driven data proto. • Loaded Data in to big query for on arrival csv files in GCS bucket and worked with airflow server and google cloud platform. • Performed Data Migration from GCS to GBQ • 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.

• 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.