operator: yush08
class: Software Developer
core_stack: [ Data Engineering, Mobile, Backend ]
languages: [ Python, SQL, Kotlin, Dart ]
doctrine: "structure first, screens later"
directive: "I want the evidence, not just the artefact."
obsessions:
- clean architecture # MVVM · Repository pattern
- star schemas # warehouses that answer real questions
- query optimization # window functions, CTEs, indexed views
- shipping things people actually use// transmission log
+ turns raw datasets -> warehouses -> dashboards
+ builds cross-platform apps on architectures that don't rot
+ slow at the start, faster forever after
! feature engineering, ETL & stubborn SQL
~ currently deep in mobile + data systems|
End-to-end ETL pipeline loading e-commerce data into a MySQL warehouse — a star schema (1 fact + 5 dimensions) with indexed SQL views feeding Power BI.
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Feature engineering + median imputation over 3,900 records, modelled in PostgreSQL with CTEs & window functions, surfaced as a KPI dashboard.
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MVVM finance app — repository layer isolating data sources,
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Cross-platform fitness app on a feature-first architecture — core / feature / shared layers + a reusable widget library.
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❝ I don't want just the artefact — I want the evidence that it worked. ❞