How I Added Adaptive Data Quality Checks to a DVC‑Managed RSS Pipeline
Ever pulled an RSS feed only to discover that a new “author” field appeared overnight, breaking every downstream notebook you wrote last week? I hi…
testing
From Fetch to Persist: Writing End‑to‑End Pytest for a Todo Pipeline
When the first run of my nightly Airflow DAG silently dropped 27 % of the Todo rows, I realized I’d been treating the pipeline like a black box. Ha…
Guardian Gates: Multi-Layered Data Quality with Great Expectations and Soda for Dynamic APIs
Do you ever lie awake at night, wondering if the external API you rely on for critical financial data suddenly decided to change a field name, or…
Beyond Static Schemas: Architecting Adaptive Data Quality for Dynamic External Feeds with Great Expectations
Implement an adaptive data quality framework using Great Expectations to validate and monitor dynamic, unpredictable external data feeds, leverag…
Beyond Balanced Buckets: Detecting and Diagnosing Subtle Sample Ratio Mismatch in A/B Tests
You’ve meticulously designed an A/B test, carefully defined your metrics, and launched it on your platform, expecting clean, actionable results. …
Beyond Assumptions: Automated Data Contract Testing for External APIs with Pydantic and Pytest
Have you ever woken up to a production alert, only to discover a critical dashboard or a core ML model is spewing garbage, all because an upstrea…
Beyond Schema: Architecting Robust Data Contracts for Cross-Team Reliability
Remember that frantic 3 AM pager duty call? The one where a critical dashboard went dark, all because an upstream team silently changed a column …
Beyond Schema: Safeguarding API Data Quality with Great Expectations in Production
Picture this: you've meticulously built a data pipeline, perhaps even using Pydantic for robust schema validation on incoming API data, just…
Detecting the Silent Killer of A/B Tests: A Deep Dive into Sample Ratio Mismatch (SRM)
Have you ever meticulously designed an A/B test, launched it with high hopes, only to find yourself staring at the initial user counts across you…