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🧑💻 I'm currently transitioning into data engineering. That means...
- 📚 I study and practice every day, and I build in public
- 🤝 I'm open to conversations, collaborations and data engineering opportunities
- 🛠️ You can find my practice projects in my pinned repositories
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🧱 My background:
- 🏢 6+ years in catastrophe-model exposure data handling (Verisk, 2019 to 2025)
- 📊 Standardizing, validating and geocoding very large property datasets (TIV, reinsurance layering)
- 🔍 Strong instincts for data quality, because I know where bad data hides
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👨🎓 I am currently learning:
- 🗄️ SQL (window functions, recursive CTEs, query logic)
- 🐍 Python and Pandas, picked up through projects
- ☁️ Azure, Databricks / PySpark and Data Factory (on the roadmap)
- ☁️ AWS, S3, Athena, Glue basics, Airflow (on the roadmap)
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🔖 Here are my projects so far:
- SQL-zero-to-hero: my SQL learning journey, from SELECT to window functions and recursive CTEs
- sql_data_warehouse_project: Building data warehouse from scratch using medallion (Bronze, Silver, Gold) architecture
- databricks_Lakehouse_pipeline: Building an end-to-end Lakehouse pipeline,a mini hands-on project with Databricks
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🎓 My certifications and courses:
- [SQL Zero to Hero, Udemy (completion certificate)]
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If you want to talk to me or discuss something, feel free to ping me on LinkedIn.

