Christopher Bobrowitz - Enterprise Technical Leader

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Summary

Enterprise technical leader with robust problem solving skills, exceptional leadership traits, with proven experience. Industry experience in airlines, automotive supply chains, and satellite networks.

Experience

Lead Platform Architect

Viasat | 2025 - Present

Leading the design and implementation of Viasat's terrestrial and space based content delivery network servicing airlines and residential customers on planet Earth.

Key Achievements

  • Architecting production analytics platform on GCP, empowering teams with self-service data capabilities
  • Builing real-time analytics platroms, enabling cross-functional teams to make faster data-driven decisions
  • Educating developers on building Agentic Applications, fostering innovation in AI-driven development
  • Championing Infrastructure as Code adoption, mentoring engineers on Terragrunt and GitHub Actions CI/CD best practices
  • Driving engineering excellence through collaborative code reviews, knowledge sharing, and architectural patterns that balance rigor with team autonomy

Technologies

Google Cloud Platform (GCP), Kore.AI, Vertex AI, Apache Airflow, dbt, Kubernetes, Apache Kafka, Terragrunt, GitHub Actions, Python

Impact

Ensuring minimum bandwidth utilization, for maximum customer satisfaction.

Software Engineering Manager

Viasat | 2024-2025

Led the development team for personalized services within the content delivery platform at Viasat.

Key Achievements

  • Shipped bandwidth reducing content personalization engine driven from machine learning.
  • Improved user watch engagement through machine learning personalization.
  • Provided real-time analytics for data driven decision making.
  • Researched several AI enabled POC's for traditional ML model replacement.

Technologies

Python, Kafka, Kubernetes, AWS Sagemaker

Impact

Improved engagement and reduced bandwidth with ML personalization while enabling real-time insights and advancing AI adoption.

Director - Enterprise Analytics

Hawaiian Airlines | 2023-2024

Led adoption of a central data platform for all self-service applications within Hawaiian Airlines enterprise.

Key Achievements

  • Delivered central data hub through Snowflake.
  • Adopted dbt across all development teams for ETL jobs.
  • Enabled real-time analytics across all self-service applications.

Technologies

Snowflake, DBT, Python, AWS SQS

Impact

Delivered high value insights through data pipelines and real time analytics for airport and commercial decision making.

Senior Architect

Hawaiian Airlines | 2021-2023

Drove technical direction for guest facing applications in Hawaiian Airlines digital experience organization.

Key Achievements

  • Directed technical strategy for HA's guest facing applications.
  • Led migration of the pasenger service system and containerizes APIs on Amazon EKS.
  • Designed and launched HA's AWS booking engine generating all of self-service applications revenue annually.
  • Delivered for commit-to-production CI/CD pipeline with Python based testing suite
  • Created AI driven user behavior models to power dynamic guest experience.

Technologies

Python, Angular, AWS, EKS, AI/ML Models

Impact

Supported existing self-service annual revenue while modernizing Hawaiian Airlines digital platform through scalable cloud architecture and automation.

Senior SDE

Hawaiian Airlines | 2019-2021

Engineered a smarter passenger experience through automation and cloud services.

Key Achievements

  • Led development of HA's global self-service kiosk application.
  • Built self-service solutions with MongoDB, Mulesoft, and Python Flask APIs.
  • Authored operational run books and SQL procedures to streamline airport and aftersales systems.

Technologies

Angular, MongoDB, Mulesoft, SQL

Impact

Modernized airport check-in systems through scalable self-service platforms.

Software Developer

General Motors | 2015-2019

Helped deliver efficiency through modernizing legacy IT systems.

Key Achievements

  • Modernized full-stack applications supporting customer care and aftersales.
  • Built Python TensorFlow models for part analytics and distribution optimization.
  • Designed and implemented data ingestion and transformation pipelines for regression models.

Technologies

Python, Tensorflow, SQL

Impact

Improved aftersales efficiency and decision making by modernizing applications and deploying AI driven analytics with automated data pipelines.

Skills

Core Competencies

  • Technical Leadership: 92%
  • Enterprise Architecture: 85%
  • Digital Transformation: 80%
  • AI Tooling: 70%

Technical Skills

  • Frontend: React, Angular, JavaScript, TypeScript, HTML/CSS
  • Backend: Node.js, Java, Spring Boot, C#, .NET
  • Databases: PostgreSQL, MySQL, SQL Server, Redis
  • Cloud & DevOps: AWS, Azure, Docker, Kubernetes, Jenkins, Git
  • Architecture: Microservices, REST APIs, CI/CD, Agile

Education

  • B.S.B.A Computer Information Systems | Northern Arizona University | 2015