Patrick (PJ) Kelly

• Delivered technology solutions tailored to clients' needs, encompassing:
  
  • Designed and managed robust ELT pipelines with Dagster to orchestrate Airbyte jobs, dbt models, Jupyter notebook runs, and custom Python workflows.
  • Built custom Airbyte connectors for extraction and loading of data between systems.
  • Implemented Star Schema data modeling in Redshift warehouses using dbt.
  • Modeled application and analytics data in relational and NoSQL databases like PostgreSQL, DynamoDB, MongoDB, and Elasticsearch.
  • Developed REST APIs for web and mobile applications in TypeScript, Python, and Ruby.
  • Deployed serverless and container-based architecture to AWS using Serverless Framework and Amazon CloudFormation.
• Spearheaded the integration of new technologies into the company’s product portfolio, including native mobile applications, transitioning from monolithic to headless architectures, and leveraging AI/ML solutions to enhance product offerings.
• Managed all engineering teams across various projects, ensuring smooth execution and timely delivery.
  • Facilitated and oversaw annual performance reviews for engineering team members, providing constructive feedback to drive professional growth.
  • Mentored junior engineers in JavaScript, Back-end, Data, and DevOps disciplines, fostering their skill development and contributing to a cohesive team environment.
• Served as the primary technology liaison for clients, addressing architectural, back-end, and data-related inquiries, and ensuring alignment between client expectations and technical solutions.
  • Designed and delivered comprehensive technical architecture plans to clients, effectively communicating complex concepts and strategies.
  • Performed comprehensive data analysis for clients, using their existing datasets to uncover valuable insights and opportunities for optimization.

Notable Clients: American Heart Association, Disney, ABC, NBC Universal, Comcast, IBM, National Association of Broadcasters, Rostrum Records, Rooms to Go, EVERFI, Tippet Rise Art Center, Music Publishers Association, Mark Morris Dance Group

• Transitioned front-end engineering team from table-based HTML layouts to semantically correct, tableless HTML.
• Built front-end interfaces for corporate websites

Notable Clients: California Pizza Kitchen, Jack in the Box, Roland Corporation, Marie
Callender's

Leveraging AI for Effective Decision-Making

Course covering many areas of data science, including exploratory data analysis, data
visualization, clustering, predictive analytics, decision trees, deep learning, and recommender systems.

Double Bass Performance