Enterprise Azure Cloud & AI solution pipeline integrating Azure Speech Studio, Language Studio (Sentiment Analysis), Python automation, and Azure SQL Database schemas.
100 documented SQL challenges — joins, window functions, CTEs, indexes and query optimization (MySQL)
End-to-end cyber risk intelligence lakehouse with PySpark, dbt, ML/SHAP, FastAPI, retrieval-based remediation guidance, monitoring, Docker, Terraform, and AWS.
This project is an automated data pipeline that extracts data from Google Sheets, transforms it, and stores it in Amazon S3 in Parquet format.
PEW (Price Exuberance Warning) is a proof-of-concept data engineering project for detecting price exuberance in financial time series, emphasizing transparent, reproducible, and extensible design.
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