fernando borao

At Management Solutions, I build Azure data platforms for regulatory compliance in the energy sector. I designed and orchestrated a daily Azure Data Factory ETL/ELT pipeline that ingests multi-GB market trading records for consistent reporting availability.

I implemented a Bronze, Silver, and Gold Medallion architecture in Azure Databricks using PySpark and Spark SQL, transforming trading operations into analytical datasets for market abuse detection. I also managed Unity Catalog schemas and table governance across the platform.

I delivered a Power BI dashboard that gives compliance and business teams daily visibility into potential market manipulation patterns, and migrated legacy Excel reporting into a Python and Pandas pipeline producing Parquet data sources.

I also build hands-on data engineering projects, including credit risk, fraud detection streaming, and market risk platforms using PySpark, Delta Lake, dbt, Airflow, Kafka, Redis, FastAPI, DuckDB, and Streamlit.