Synthesizing Kaggle Catalogs with Google Analytics 4 BigQuery Event Streams. Focus on Data Engineering, Multi-Source Synthesis, Noise Injection, Implicit Feedback Engine.
A comprehensive comparison of Polars and Pandas for production data engineering, covering lazy evaluation, memory efficiency, parallel execution, migration patterns, and real-world benchmarks from replacing Pandas in production pipelines.
A production-focused guide to building a Customer Data Platform (CDP) that unifies siloed customer data, handles identity resolution, engineers 200+ features in real-time, and maintains data quality at scale. Based on nine years of building data platforms.
A production-focused technical deep-dive from 9+ years of hands-on data science experience.
A senior data scientist's guide to building production-grade Airflow pipelines — DAG patterns, error handling, retries, backfilling, monitoring, and the anti-patterns that will burn you.
