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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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cornzyblack/README.md

Hi there 👋, Eni here

I’m passionate about data and the software tools that make it powerful. I enjoy building, tinkering, and collaborating on projects that push the boundaries of data engineering, reliability, and automation.

  • 🔭 Current focus: Data quality frameworks, transformation workflows, and high-performance DataFrames.
  • 📚 Always learning: I grow my skills through books, experiments, and open-source contributions.

Open-source involvement:

  • DQX – Contributing to improving data quality tooling in Databricks.
  • Exploring projects like Daft, Airbyte, and SQLMesh.

💡 I occasionally explore ML and AI, especially where they intersect with large-scale data systems.

Pinned Loading

  1. dqx dqx Public

    Forked from databrickslabs/dqx

    Databricks framework to validate Data Quality of pySpark DataFrames

    Python

  2. uncoverthestack/data-quality-dqx uncoverthestack/data-quality-dqx Public

    Uisng DQX for data quality

    Jupyter Notebook 1

  3. databrickslabs/dqx databrickslabs/dqx Public

    Databricks framework to validate Data Quality of pySpark DataFrames and Tables

    Python 343 72