Austin McConnell

SparkCognition

Senior Software Engineer Austin, TX Oct 2019 - Nov 2022

• Designed and implemented a job processing and queueing system in Python to parallelize document ingestions and transformations.
• Designed and built a service to generate engineered features from time series data in Python. Features could be updated on a given schedule.
• Reduced time to onboard a new customer from 6 weeks to 2 days, a 95% decrease, using Helmsman.
• Led the creation of a web API standard to ensure a consistent user experience across all our REST APIs.
• Used Docker, Jenkins CI/CD pipelines, and Helm/Kubernetes manifests to decrease time-to-production and decrease baseline costs
• Managed one summer intern in 2021. Mentored team interns and new hires in 2022
• Guided technical architecture decisions for the company while on the Architecture Council.
• Removed 5000+ lines of unused code to increase readability & maintainability.
• Implemented automatic team coding standards to improve code readability and increase developer efficiency.

Real Massive

Full Stack Engineer Austin, TX May 2017 - Oct 2019

• Built and deployed an ETL pipeline in Python that can process 3.6 Million records per day.
• Saved company 50k per year by optimizing infrastructure needs and application memory/CPU requirements
• Reduced Docker image sizes by 400% by restructuring existing containers using best practices.
• Co-led backend development effort for an extensive redesign of products and platform. Closely worked with the Product Owner to define and clarify requirements.
• Created and maintained fully automated CI/CD pipelines for code deployment using CircleCI.
• Maintained existing and deployed new microservices using Kubernetes, Terraform, and Helm for repeatable infrastructure deployments across multiple environments.
• Designed a new database model schema for an ingestion pipeline based on product requirements.
• Implemented tooling to improve developer velocity using git pre-commit hooks. These hooks automatically perform 15+ checks that ensure code meets development standards which reduces subjectivity in PRs and increases maintainability in code bases.

Lockheed Martin

Modeling & Analysis Engineer Fort Worth, TX Jun 2014 - Apr 2017

• Youngest Study Lead ever for government contract deliverable. Output from the deliverable was used to directly support the negotiation of a $1.9B annualized contract.
• Successfully decreased the time and cost to produce contract deliverable by 90% by fully automating the simulation, analysis, and report generation process.
• Created a multi-threaded, multi-processing agent-based file watcher program in Python for automation of simulation post-processing. Multiple pipelines stored processed results in a variety of formats and databases.
• Primary modeler in charge of massive 10-year global simulation which included planned squadron size and flight hours for US and partner countries, planned and actual spare part purchases, and engineered and actual failure rates for thousands of parts.

Lockheed Martin

Subsystems Integrity and Force Life Management Engineer Jan 2012 - Jun 2014

• Wrote custom software to automatically detect and parse raw aircraft flight data and store the results in a database.
• Provided code design and data analysis for 6 part utilization reports.
• Applied statistical analysis to multiple dataset formats and used goodness-of-fit parameters to determine the best curve fit option.
• Created Access database and reports to manage limited-life part inspection requirements.
• Reviewed qualification requirements and test reports for 4 F-35 subsystems.

BS Aerospace Engineering
Texas A&M University College Station, TX 2011

• Python
• Docker
• Kubernetes
• PostgreSQL
• Redis
• Terraform
• CI/CD Pipelines
• Azure
• Amazon Web Services (AWS)
• Google Cloud Platform (GCP)
• Flask
• SQLAlchemy
• FastAPI
• SQL
• Git