Shaun Brown, Developer in Scottsdale, AZ, United States
Shaun is available for hire
Hire Shaun

Shaun Brown

Verified Expert  in Engineering

Database Developer

Location
Scottsdale, 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

Orbit Metrics
Big Data, BigQuery, Firebase, Google Cloud Platform (GCP)...
MIT Lincoln Laboratory
JavaScript, Python, NGINX, Docker, PostgreSQL, SSL Certificates, React, Svelte...
R30 Ventures
Data Pipelines, ETL, Predictive Analytics, Visualization...

Experience

Availability

Part-time

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

2022 - PRESENT
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.
Technologies: Big Data, BigQuery, Firebase, Google Cloud Platform (GCP), Google Cloud Functions, SQL, Data Definition Languages (DDL), Microsoft Power BI, Business Intelligence (BI), Dashboards, BI Reports, Reports, Data Engineering, Data Visualization, Ads, Amazon Web Services (AWS), Amazon S3 (AWS S3), Google Data Studio, QuickBooks Advance Reporting, Tableau, QuickBooks API, Data Analytics, Microsoft Excel, Intuit QuickBooks, Pandas, GitHub, NumPy, Serverless, Data Lakes, Apache Kafka, NoSQL, Data Warehousing, Snowflake, Redshift, Data Analysis, Analytics, Full-stack, Google BigQuery, Google Analytics, QuickBooks Online, Data Architecture, Roadmaps, Big Data Architecture, Architecture, PostgreSQL, Database Administration (DBA), Bash

Cloud and Big Data Software Engineer

2022 - PRESENT
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.
Technologies: JavaScript, Python, NGINX, Docker, PostgreSQL, SSL Certificates, React, Svelte, Kubernetes, Networking, Proxies, Express.js, Node.js, MongoDB, Data Strategy, Data Governance, Data Visualization, Amazon Web Services (AWS), Amazon S3 (AWS S3), Google Data Studio, Data Analytics, Microsoft Excel, Pandas, GitHub, NumPy, Boto, AWS Step Functions, AWS Lambda, Serverless, Data Lakes, Apache Kafka, Scaling, NoSQL, Data Warehousing, Data Analysis, Analytics, Full-stack, Google BigQuery, Data Architecture, Roadmaps, Big Data Architecture, Architecture, Database Administration (DBA), Bash

Data Engineer

2021 - 2022
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.
Technologies: Data Pipelines, ETL, Predictive Analytics, Visualization, Stakeholder Management, Business Intelligence (BI), Dashboards, BI Reports, Data Visualization, Ads, MongoDB, Amazon Web Services (AWS), Google Data Studio, Data Analytics, Microsoft Excel, Inventory Management, GitHub, NumPy, Data Warehousing, Data Analysis, Analytics, Full-stack, Google BigQuery, Google Analytics, Data Architecture, Big Data Architecture, Architecture, Bash

Electrical Engineer

2020 - 2021
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.
Technologies: Excel VBA, Process Flows, Circuit Design, Data Analytics, Microsoft Excel, GitHub, NumPy

Researcher

2017 - 2021
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.
Technologies: Neural Networks, C, Data Mining, Data, Bash Script, Linux, Digital Signal Processing, Reports, Data Analytics, Pandas, NumPy, Data Analysis, Analytics

Researcher

2019 - 2020
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.
Technologies: Research, Reports, Data Analytics

Autonomous Mobility Through Intelligent Collaboration (AMIC)

Worked with a remote team on developing a data warehouse-like application that sought to index rosbags for use within collaborative programs in the armed forces. The goal was to analyze, reprocess, and access hundreds of terabytes of data from unmanned aerial vehicles (UAVs) and autonomous ground vehicles that could be shared across programs without having to recollect the data.

Languages

Python, JavaScript, SQL, C, Bash, Verilog, C++, Excel VBA, Bash Script, Snowflake

Tools

BigQuery, Microsoft Power BI, Microsoft Excel, GitHub, Google Analytics, Terraform, NGINX, Docker Compose, Apache Maven, Tableau, Boto, AWS Step Functions

Paradigms

Business Intelligence (BI), ETL

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, OCR, Scaling

Libraries/APIs

React, Node.js, Pandas, NumPy, QuickBooks API

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

2017 - 2021

Bachelor's Degree in Biomedical Engineering

University of Arizona - Tucson, Arizona, United States

2017 - 2021

Bachelor's Degree in Computer Engineering

University of Arizona - Tucson, Arizona, United States

2017 - 2021

Bachelor's Degree in Electrical Engineering

University of Arizona - Tucson, Arizona, United States

Collaboration That Works

How to Work with Toptal

Toptal matches you directly with global industry experts from our network in hours—not weeks or months.

1

Share your needs

Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2

Choose your talent

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3

Start your risk-free talent trial

Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.

Top talent is in high demand.

Start hiring