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Patrick Dwyer

Patrick Dwyer

Data Scientist with 2 years of experience in cloud-based data engineering and machine learning. Proficient in designing, developing, and maintaining scalable systems across AWS, Azure, and GCP. Strong expertise in Python, SQL, and Terraform, with hands-on experience building data pipelines, containerized applications, and CI/CD workflows. A fast learner with a problem-solving mindset, passionate about data engineering. Google Cloud Certified Professional Machine Learning Engineer.

Experience

Manifold Group:
Data Scientist October 2023 –
Present

Websanity:
Web Developer September 2023 –
Present

Schwartz Lab:
Lab Tech July 2023 –
Sep 2023

Tools & Skills

Tools

  • SQL
  • Python
  • Javascript
  • CSS
  • HTML
  • Bash
  • Postgres
  • Docker
  • dbt-core
  • git
  • GitHub Actions
  • GitLab CI/CD
  • Azure—Function App,VM,Synapse,Data Factory,Storage,ADLS2
  • AWS—ECR,RDS,S3
  • GCP—Vertex AI,BigQuery,Storage

Skills

  • Communication
  • Translating complex technical concepts
  • Presenting
  • Working in a team environment
  • Problem solving
  • Programming
  • System Design
  • Analysis
  • Modeling & machine learning

Education

BA: Mathematics,
Computer Science Sep 2019 –
June 2023

Projects

This websitepatrickdwyer.com Summer 2023-Present

LLVM Compiler (Class: Compiler Construction) Winter 2022