Finance professional building data engineering projects across market data pipelines, analytics automation, reconciliation, monitoring, and reporting infrastructure.
I use Python, SQL, Apache Airflow, Docker, DuckDB, Power BI, and Git to build practical data workflows that automate manual finance and data processes.
- Building production-style data pipelines with Apache Airflow
- Ingesting, transforming, validating, and monitoring financial market data
- Using DuckDB and SQL for analytical data modelling
- Containerising projects with Docker and Docker Compose
- Improving data quality, auditability, and reporting automation
Please review my repository below to check out my projects.
Languages: Python, SQL, Bash
Data Engineering: Apache Airflow, Docker, Docker Compose, DuckDB, ETL/ELT workflows
Analytics: Power BI, Excel, pandas, financial analysis
Monitoring: Grafana, logging, alerting, failure handling
Tools: Git, GitHub, Ubuntu, VS Code