I am a Software Development Engineer in Test (SDET) with 4+ years of experience specializing in Python-based automation and SQL-driven data validation frameworks. My core strength lies in building scalable testing solutions for data pipelines, ETL processes, and database migrations.
I focus on ensuring data integrity, reconciliation, and end-to-end validation across complex systems.
- 🔹 Design and develop automation tools using Python
- 🔹 Build data validation frameworks using SQL
- 🔹 Perform ETL testing & data quality checks
- 🔹 Work on data pipeline validation (Source → Staging → Vault → Marts)
- 🔹 Implement reconciliation frameworks for large datasets
- 🔹 Develop utilities for schema comparison & data consistency
- Python
- SQL
- Oracle
- Snowflake
- IBM AS/400
- ETL Testing
- Data Validation
- Regression Testing
- Smoke Testing
- Data Quality Checks
- Git & GitHub
- Excel Automation (OpenPyXL, Pandas)
- ✅ Built reusable Python automation frameworks for ETL validation
- ✅ Automated schema comparison and reconciliation processes
- ✅ Reduced manual testing effort through custom validation tools
- ✅ Worked on large-scale database migration validation projects
- ✅ Designed data quality checks across multiple pipeline stages
- 🎓 GitHub Copilot Certification
- 🎓 GitHub Foundations Certification
- 🔹 Advanced Python for scalable automation
- 🔹 AI-driven testing and intelligent validation systems
- 🔹 Deep dive into data engineering concepts
To become a highly skilled developer specializing in Python, SQL, and data engineering, building intelligent automation systems powered by AI.
- 💼 LinkedIn: https://www.linkedin.com/in/drop2vsk/
- 📧 Email: drop2vsk@gmail.com
I enjoy solving complex data problems and turning manual testing processes into efficient automated systems 🚀