Cloud Data Analytics
Inside the build
Built for cloud engineering and analytics workflows, the pipeline reaches approximately 77,000 records per second and replaces manual CSV reviews with an interactive dashboard for spending trends, budget variance, and cost anomalies.
What I built
- Processed 100,000 AWS billing records in 1.29 seconds at approximately 77,000 records per second.
- Reduced cloud-cost analysis time from approximately two hours to under ten minutes.
- Built Streamlit views for spending trends, budget variance, anomalies, and cost optimization.
PythonPandasSQLiteStreamlit