QA Engineer | Data & Systems Validation | ML Engineer transitioning into Fintech Reliability Engineering
I specialize in building and validating reliable data systems, APIs, and automated pipelines.
My focus is ensuring correctness, consistency, and robustness in systems that process critical data and transactions.
I am particularly interested in:
- Payment system reliability
- API testing and validation
- SQL-based data reconciliation
- Edge case and failure testing
- Data integrity in distributed systems
- API testing (RESTful services)
- End-to-end system validation
- Edge case and failure scenario testing
- Test automation using Python
- SQL-based reconciliation
- Transaction validation logic
- Data pipeline consistency checks
- Anomaly detection in structured datasets
- Predictive modeling
- Time-series analysis
- Data visualization dashboards
Languages: Python, SQL, C++
Testing: API testing, data validation, system debugging
Data: Pandas, NumPy, Scikit-learn
Visualization: Tableau, Plotly, Excel
Tools: Git, Linux, Jupyter Notebook
π Check pinned repositories below
- Email: tamosa@purdue.edu
- LinkedIn: https://linkedin.com/in/tamosa