Key architect and builder of robust, scalable data pipelines using Databricks and AWS, working directly with clients to understand and deliver on their AI and data needs.

Designed optimal data architectures that transform raw data into actionable insights, driving critical business decisions
Architected AI solutions using agents to optimize and automate client workflows and processes
Integrated and automated data pipelines with Databricks for a Fortune 500 company, enabling AI agents across their work streams and 72% growth
Built an agentic workforce that automated workflows and managed tasks, reducing operational errors by 30% and bottlenecks by 77%

July 2021 - August 2025

Manager of Data Science and Data Engineering

Very Technology

Led teams of engineers emphasizing product ownership and scalable solutions integrating LLMs and generative AI.

Directed the integration of LLMs and Generative AI into existing systems, improving operational efficiency by 80% in 2 months
Consulted on the design of an AI-first system, increasing data-driven decision-making and user productivity by 90% in 3 weeks
Developed and deployed an AI agent leveraging a fine-tuned model for real-time guidance, boosting technician efficiency by 22%
Engineered an event-driven backend enabling advanced marketing strategies, boosting sales profits by 33% in 3 months
Architected a real-time API platform achieving 99.99% uptime with sub-5s end-to-end latency for IoT data

January 2019 - July 2021

Senior Data Engineer

Evonik Industries

Created and designed the full lifecycle of data pipelines to support niche Data Science segment to drive decisions.

Designed and implemented backend system architecture supporting Data Scientists and Analysts
Implemented machine learning forecasting model for energy consumption, reducing costs by $2M in one year
Performed data integration, reducing redundancies by 80% and decreasing project overhead by 50%

April 2018 - January 2019

Data Engineer

Amazon Robotics

Developed and maintained data pipelines used by the Deployment Engineering division of Amazon Robotics.

Trained predictive modeling algorithm for preventive maintenance, reducing downtime by 83%
Implemented real-time data processing analytics dashboards for Deployment Engineers
Worked on IoT optimization of data backend to automate data collection, reducing costs by 10% in one month

February 2011 - April 2018

Senior Data Engineer/Analyst - AVP

Bank of America

Participated in business reviews to improve data workflows and increase the accountability and usability of the data.

Designed and implemented the metadata repository for the Finance group within the Bank
Used business intelligence and analytics tools to perform reviews on deposit accounts, recovering billions of dollars

Education & Certifications

Graduated

Master of Science in Computer Science - Software Engineering

CTU Online

Advanced studies in software engineering, algorithms, and system design.

GPA: 3.95/4.0
Specialized in Software Engineering
Focus on scalable system architecture and modern development practices

Graduated

Bachelor of Arts in Political Science

University of Rhode Island

Undergraduate studies at URI, Kingston RI.

2026 - 2028

Databricks Certified Data Engineer Professional

Databricks

Professional certification for building and optimizing production data pipelines on the Databricks Lakehouse Platform.

Certified

AWS Certified Solutions Architect - Associate

Amazon Web Services

Professional certification for designing and implementing distributed systems on AWS.

Certified

TinyML Certification

Harvard edX

Certification in machine learning for embedded systems and edge devices.

Resume

PDF Document

Jose Roberts

Data & AI Architect

15+ years architecting data pipelines & AI-first systems

AI & LLM solutions with OpenAI, Databricks & agentic workflows

Full-stack delivery with React, Next.js, TypeScript & Python

Cloud, MLOps & DevOps with AWS, Terraform, Docker & Kubernetes

PDF • 95 KB

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