Writing

Notes from the work.

Honest writing on data engineering, analytics, pipeline design, and lessons from building real systems. Leave a comment or reaction on any post.

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dbt Patterns & Analytics Engineering

Model structure, data contracts, testing strategies, and tradeoffs in analytics engineering.

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Honest ML Evaluation

Why backtesting discipline matters more than in-sample metrics.

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Lakehouse Design Decisions

Bronze/silver/gold tradeoffs, DuckDB vs BigQuery, and local-first data platforms.

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Data Quality as Engineering

Schema tests, row-level validation, and why quality is never optional in production.

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Pipeline Observability

What good monitoring looks like and the difference between working and observable.

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Domain Data: Finance & Sport

Domain-specific challenges in financial time-series and sports performance data.