J

Joshua Trampier

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Owner & Founder | AI Strategist
St. Louis, Missouri, United States

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Résumé


Jobs verified_user 0% verified
  • GoodLeap
    Staff Data Engineer
    GoodLeap
    Oct 2025 - Current (10 months)
  • E
    Owner & Founder | AI Strategist
    Eladata
    Aug 2025 - Current (1 year)
    Data Management, Advanced Analytics, and AI Consulting Solutions
  • Finalsite
    Data Architect
    Finalsite
    Apr 2024 - Oct 2025 (1 year 7 months)
    • Designs and implements enterprise data architecture for a medium-sized business • Manages several cross-functional teams to identify, gather, design, implement, and optimize data products, data pipelines, BI tools, reports, and dashboards that empower decision-makers with timely and accurate information. • Leverages Terraform IaC and DevOps to deliver reliable BI solutions and data pipelines at scale • Conducts analysis of alternatives for data solutions and manages $100k of annual AWS and GCP cloud spend, as well as ETL service expenses • Liaised with multiple contractor teams and data solution providers for technical consultation and assessing competitive bids
  • Reinventing Geospatial RGi
    Senior Data Scientist
    Reinventing Geospatial RGi
    Oct 2023 - Apr 2024 (7 months)
    • Lead Scientist on $794M NGA RDC IDIQ contract, overseeing multidisciplinary geospatial, CV, and NLP research design on multiple projects and proposals. • As Tech. Lead I designed a data science environment for data quality BI. • Tech stack: Terraform, Databricks, AWS, PySpark, and the ELK stack. IaC admin using Terraform and AWS CF in a DevOps GitLab pipeline. • Designed and implemented fault-tolerant, multi-TB data pipelines for data scientist, engineer, and analyst consumption • Identified data lifecycle cost efficiencies for multi-million AWS cloud spend, saving thousands monthly
  • US Department of the Treasury
    Supervisory Data Scientist
    US Department of the Treasury
    May 2022 - Sep 2023 (1 year 5 months)
    • Co-directed eleven-member, data science, engineering, and analytics team of civilians and contractors to build out an enterprise Databricks lakehouse. Created data pipelines and oversaw two direct reports. • Created office knowledge mgmt. strategy and data project intake & triage process • Managed and fine-tuned AWS cloud architecture with an annual budget of $1M • Liaised with multiple contractor teams and data solution providers for technical consultation and assessing competitive bids • Solved cloud design and data modeling challenges for legacy system migration & modernization • As Deputy Chief Data Steward, co-authored agency-wide data mgmt. policy and co-led 40-member, data steward community of practice to develop enterprise (meta)d
  • United States Department of War
    Data Scientist & Team Lead
    United States Department of War
    Jan 2020 - May 2022 (2 years 5 months)
    • Developed new data products, dashboards, and consumer endpoints using commercial and in-house solutions composed of modular, scalable machine learning and data pipelines • Led Agile software development teams to foster best practices in big data hygiene for machine-learning and AI-ready corpora supporting national security • Created novel prototypes using IaaS (AWS EC2 & S3) and PaaS (Cloud Foundry), PostgreSQL/PostGIS, statistical and machine learning models, Python Dash, Flask, & SQL Alchemy, and DevSecOps pipelines • Shepherded high value systems from concept into operations • Managed direct reports of 3-10 geographically dispersed team members • Conducted frequent user engagement & stakeholder sessions for training and requirements di
  • United States Department of Defense
    Research And Development Scientist
    United States Department of Defense
    Oct 2013 - Jan 2020 (6 years 4 months)
    • Led software development teams of engineers, academics, and UX designers to advance national security objectives • Managed direct reports of 3-10 geographically dispersed team members • Promoted for achieving a funded and multi-awarded R&D Prototype to Operations transition (TRL 1-7), despite organization’s low historic project success rate • Oversaw cloud and data tools budget of $100k/year, identifying efficiencies that saved $3.5k/month • Created interagency strategic partnerships to secure matrixed personnel and data-sharing agreements • Developed new software MVPs using IaaS (AWS EC2, Cloud Formation, EMR, S3) and PaaS (Cloud Foundry), PostgreSQL/PostGIS, statistical and machine learning models, Python and R, Elastic Search, and Apac
Education verified_user 0% verified
  • Missouri State University
    Bachelor of Arts - BA, summa cum laude, History
    Missouri State University
  • University of MissouriColumbia
    Master of Science - MS, Data Science
    University of MissouriColumbia
    * Curriculum in Python & R, statistical modeling, visualization, geospatial and natural language processing, machine learning and deep learning, data modeling and clustering, cloud computing (AWS, Azure, Google Compute), RDBMS and NoSQL databases, and search engines
  • University of Chicago
    Master of Arts - MA, Near and Middle Eastern Studies
    University of Chicago
    * Published original research on the western Nile Delta using satellite remote sensing imagery and historic maps *Led topographic survey, surface collection, and soil sampling, reconstructing two millennia of occupation and natural history in an ancient landscape
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