Bryan Armstrong

AI/ML • Nashville, USA • UTC-06:00 • Work permits: United States • Available in 2 weeks

Backend Developer

11+ years exp

11+ years ML exp

Node JS

PHP

Java

JavaScript

TypeScript

Python

SQL

Scala

Active 10 hours ago

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Overview

Technical skills

Timeline

Roles

Overview

Backend engineer specializing in Go services, REST and gRPC APIs, AWS infrastructure, and reliability/observability improvements for distributed systems. Also has professional experience in large-scale data engineering and ML, building Spark-based pipelines and deploying XGBoost/scikit-learn models for production logistics use cases.

Technical skills

Node JS

PHP

Java

JavaScript

TypeScript

Python• Senior • 11y+

SQL• Senior • 11y+

Go• Senior • 5y+

Scala• Junior

ASP.NET Core

gRPC for .NET

Node JS

Express

Nest.JS

PHP

Laravel

Python

Django

FastAPI

pySpark

Databases

Apache Kafka

Databricks

Google BigQuery

MS SQL

MySQL

Oracle

Redis

Snowflake

Amazon Redshift• 11y+

PostgreSQL• 11y+

Amazon Aurora• 5y+

AI/ML

Anomaly Detection

dbt

LLM

MLFlow

NLP

Airflow• 11y+

Spark• 11y+

Scikit-learn• 10y+

XGBoost• 10y+

NumPy

Pandas

RAG

Frontend

GraphQL

Next.js

React.js

Vue.js

DevOps

Amazon EC2

Amazon EKS

AWS

AWS Lambda

Azure

Azure DevOps

CI/CD

Docker

GCP

GitHub Actions

GitLab CI

Kubernetes

Vector

Rest API• 11y+

gRPC• 5y+

Terraform• 5y+

Cybersecurity

HIPAA

Analytics

Matplotlib

Plotly

Power BI• 10y+

Tableau• 10y+

Timeline

Senior Backend Engineer • Senior

Uber • Full-Time

Jan 2021 to Present 5 Years 7 Months Nashville In office

Built and maintained Go-based backend services for distributed internal platform capabilities. Developed REST and gRPC APIs and implemented asynchronous, queue-driven processing to improve reliability. Designed AWS infrastructure using Aurora and other managed services, implemented OAuth/JWT-based authentication and authorization flows, and improved CI/CD reliability and production observability through monitoring and structured logs. Optimized ingestion and backend performance with profiling, indexing, and database tuning, including incident support across services.

gRPC

Rest API

Amazon Aurora

SQL

Terraform

Senior ML Data Engineer • Senior

FedEx • Full-Time

Jun 2016 to Dec 2020 4 Years 6 Months Memphis In office

Designed and delivered large-scale Spark and Python data pipelines for logistics analytics and ETA prediction. Built and deployed XGBoost and scikit-learn models to improve delay risk detection and forecast outcomes. Implemented scalable ETL workflows with Airflow, SQL, and AWS, reducing processing time and improving data quality and lineage. Developed Tableau and Power BI dashboards, optimized distributed jobs and SQL workloads, and mentored engineers on production data engineering practices.

Spark

Python

XGBoost

Scikit-learn

Airflow

SQL

Tableau

Power BI

Full Stack Data Engineer • Middle

Unum Group • Full-Time

Apr 2015 to May 2016 1 Year 1 Month Chattanooga In office

Created and maintained healthcare data ETL pipelines using Python, SQL, Airflow, and Spark. Built REST API ingestion flows integrating internal and third-party healthcare systems. Designed cloud data warehouse solutions on Amazon Redshift and PostgreSQL with automated monitoring, validation, and fault recovery to improve reliability and reduce end-to-end latency. Implemented HIPAA-aligned data quality controls and optimized SQL/Spark transformations to improve reporting performance and reduce compute usage.

Pythonsince 2015

SQLsince 2015

Airflowsince 2015

Sparksince 2015

Amazon Redshift

PostgreSQL

Rest APIsince 2015

Middle Tennessee State University

Bachelor's Degree • Electromechanical Engineering

2014 Murfreesboro, Tennessee