Shaun Brown
Verified Expert in Engineering
Database Developer
Phoenix, AZ, United States
Toptal member since November 17, 2022
Shaun is a data and software professional with more than five years of experience in software engineering, data analytics, statistics, and implementation. He is eager to keep learning new skills and adding tools to his metaphorical tool belt. Shaun's ability to integrate into any work environment and quickly adapt to any tech or data stack makes him an immediate asset to any team.
Portfolio
Experience
- Python - 5 years
- JavaScript - 5 years
- Databases - 4 years
- Big Data - 4 years
- Cloud - 4 years
- Distributed Systems - 2 years
- SQL - 2 years
- Large-scale Distributed Systems - 1 year
Preferred Environment
Linux, Docker, Python, JavaScript, Terraform, Cloud, Databases, Large-scale Distributed Systems, Big Data, Neural Networks
The most amazing...
...project I've developed is a proprietary neural network in C to be shipped aboard the upcoming Artemis, a gateway space station for habitat health monitoring.
Work Experience
CEO and Founder
Orbit Metrics
- Managed multiple clients, projects, and stakeholders simultaneously.
- Handled legacy system migrations to cloud-native architectures.
- Balanced technical cloud development work with overall business management.
Cloud and Big Data Software Engineer
MIT Lincoln Laboratory
- Interacted with military stakeholders to incorporate feedback.
- Developed and made the architecture for the Autonomous Mobility Through Intelligent Cooperation (AMIC) project more reliable.
- Architected a high-reliability distributed system to handle petabytes of data from autonomous vehicles across various branches of the armed forces.
- Managed Agile sprint cycles with a core team of five developers.
Data Engineer
R30 Ventures
- Planned, executed, and maintained scalable data infrastructure and a web backbone in a cloud environment.
- Designed robust web servers to facilitate company automation.
- Established a business intelligence department within the company.
Electrical Engineer
Northrop Grumman
- Designed, developed, and rolled out process improvement tools for the organization.
- Implemented algorithms to synthesize networks from arbitrary impedance functions to be used for satellite component development and testing.
- Collaborated and assisted multiple satellite programs in developing power distribution units.
Researcher
Visual and Autonomous Exploration Systems Research Laboratory
- Implemented artificial neural networks to analyze electrocardiograms with predictive analytics and spot anomalies.
- Extracted large-scale datasets from the PhysioNet online public database for signal processing and analysis.
- Programmed digital signal processing algorithms for streaming live data across multiple leads of ECG data to test the validity of current cardiology standards.
Researcher
Lunar and Planetary Laboratory
- Conducted research focused on prognostics and health management (PHM) systems for crews on long-duration space missions.
- Developed programs to be utilized by Stottler-Henke for PHM systems aboard space shuttles or habitats for integration with autonomous systems.
- Created a real-time health monitoring system that analyzed biosignals to be processed by a neural network for anomaly detection.
Experience
Autonomous Mobility Through Intelligent Collaboration (AMIC)
Education
Bachelor's Degree in Biomedical Engineering
University of Arizona - Tucson, Arizona, United States
Bachelor's Degree in Computer Engineering
University of Arizona - Tucson, Arizona, United States
Bachelor's Degree in Electrical Engineering
University of Arizona - Tucson, Arizona, United States
Skills
Libraries/APIs
React, Node.js, Pandas, NumPy, QuickBooks API
Tools
BigQuery, Microsoft Power BI, Microsoft Excel, GitHub, Google Analytics, Terraform, NGINX, Docker Compose, Apache Maven, Tableau, Boto, AWS Step Functions
Languages
Python, JavaScript, SQL, C, Bash, Verilog, C++, Excel VBA, Bash Script, Snowflake
Paradigms
Business Intelligence (BI), ETL
Platforms
Linux, Docker, Google Cloud Platform (GCP), Amazon Web Services (AWS), Apache Kafka, Kubernetes, Firebase, AWS Lambda
Storage
Databases, PostgreSQL, Amazon S3 (AWS S3), Data Lakes, NoSQL, Database Administration (DBA), MongoDB, Data Definition Languages (DDL), Cache, Data Pipelines, Redshift
Industry Expertise
Bioinformatics
Frameworks
Svelte, Express.js
Other
Cloud, Large-scale Distributed Systems, Big Data, Dashboards, BI Reports, Reports, Data Engineering, Google Data Studio, Data Analysis, Analytics, Google BigQuery, Data Mining, Research Proposals, Distributed Systems, Visualization, Data, Data Strategy, Data Governance, Data Visualization, Ads, Data Analytics, Serverless, Data Warehousing, Full-stack, QuickBooks Online, Data Architecture, Roadmaps, Big Data Architecture, Architecture, Neural Networks, Embedded Systems, Electrical Design, PCB Design, Circuit Design, Circuit Analysis, Data Structures, Version Control, Statistical Methods, Biometrics, Human-machine Interface (HMI), SSL Certificates, Networking, Proxies, Google Cloud Functions, Build Systems, Predictive Analytics, Stakeholder Management, Process Flows, Research, Digital Signal Processing, QuickBooks Advance Reporting, Intuit QuickBooks, Inventory Management, Optical Character Recognition (OCR), Scaling
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