Here are a few data projects where I’ve applied analysis, visualization, and cloud tools to solve real-world problems and deliver business value.

Google Cloud DataPipeline

• Designed and maintained scalable ETL pipelines using Python - for data extraction, Snowflake for Data Warehousing, and Airflow for orchestration.
• Deployed cloud-native data solutions using GCP, Google Cloud Storage, and BigQuery to automate data flow and improve processing scalability.

SQL Data Warehouse

• Used Docker to containerize a PostgreSQL data warehouse, ensuring consistent development environments and easier collaboration.
• Built an ELT / ELT pipeline using SQL within a Medallion Architecture to clean, transform, and aggregate sales data for KPI reporting.
• Implemented a star schema data model to support efficient business intelligence queries and ad hoc analytics.\

More detailed case studies coming soon. Check out my GitHub for project code and notebooks.