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meghansaha/README.md

About Me

I develop and maintain automated data systems, validation frameworks, and internal/external tooling with a focus on long-term maintainability. I enjoy diving into the quiet work that makes systems easier to use, develop, and maintain over time.


What I Work On

  • 📦 Building and maintaining Python and R packages with automated testing and CI/CD
  • 🛠️ Designing validation frameworks and internal tooling for data pipelines
  • 🤝 Contributing to and maintaining open-source projects in public ecosystems
  • 📝 Creating user- and developer-friendly error reporting and logging

Technical Focus

  • Languages: Python, R, SQL
  • Developer tooling: Git, GitHub Actions, CI/CD, automated testing (pytest, testthat)
  • Open-source practices: API stability, release automation, contributor workflows, documentation
  • Systems & data: data pipelines, validation layers, reproducible workflows

Familiar With

  • TypeScript (reading and navigating existing codebases)
  • Go (reading existing codebases and understanding concurrency patterns at a high level)

Community & Writing

I occasionally write or speak about technical topics:

  • Talks and workshops: here
  • Technical writing and blog posts: here

I Love Music, Here's What I'm Listening To:

Spotify Recently Played

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  1. artpack-py artpack-py Public

    A comprehensive Pyart toolset package.

    Python 1

  2. artpack artpack Public

    A comprehensive Rtistry toolset package.

    R 7

  3. pointblank pointblank Public

    Forked from posit-dev/pointblank

    Data validation toolkit for assessing and monitoring data quality.

    Python

  4. please_let_me_merge please_let_me_merge Public

    Talk Repository for "Please Let Me Merge Before I Start Crying: And Other Things I've Said at the Git Terminal" - Posit::Conf(2024)

    HTML 28 2

  5. pipelines_in_R pipelines_in_R Public

    RStudio::conf(2022) Resources and Materials for the "Making Data Pipelines in R" Talk.

    HTML 20 6

  6. Data_Art Data_Art Public

    Playground for practicing/trying data art.

    R 27 5