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ppfenning/README.md

Patrick Pfenning

Senior Data Engineer — building cloud-native data platforms in Python, Spark, and Terraform on AWS.

I work remotely from Vermont for BlastPoint, developing the medallion-architecture lakehouse behind our customer-intelligence platform: PySpark ETL orchestrated with AWS Step Functions and Batch, S3/Parquet storage, and infrastructure provisioned as code with Terraform.

Stack: Python · SQL · PySpark · pandas / PyArrow · AWS (S3, Batch, Step Functions, Lambda) · Terraform · Docker · PostgreSQL · GitHub Actions

Selected work

Background

BS Applied Mathematics ('17) · MS Data Science ('23) — Wentworth Institute of Technology.

Off the clock: the Vermont outdoors, a Proxmox homelab, and a Neovim config tuned well past the point of diminishing returns.

Get in touch

LinkedIn · pfenningpat@gmail.com

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  1. Chaotic-Neural-Networks-for-Asymmetric-Encryption-of-Audio-Files Chaotic-Neural-Networks-for-Asymmetric-Encryption-of-Audio-Files Public

    Graduate research: asymmetric encryption of audio files with chaotic neural networks (MS Data Science)

    TeX 2

  2. PitchGuesser PitchGuesser Public

    A machine learning project to guess pitch types from PitchFX data.

    Jupyter Notebook 1

  3. Symmetric-Encryption-via-CNN Symmetric-Encryption-via-CNN Public

    Symmetric encryption via chaotic neural networks — companion implementation to the research paper

    Jupyter Notebook