Marshall Taah — Data Engineer
Agentic Engineer and Data Engineer in DevSecOps environments and secure data platforms. Supported the DoW’s Data Platform modernization initiative, contributing to the data ingest workflow, YAML configurations, and platform integration across tools: Airflow, GitLab CI/CD, Argo CD, and Helm. Built automation logic and metadata flows using platforms like Mage-AI, DataHub, JupyterHub. Excellent adaptive quick learner, and familiarization with complex technical systems.
Stackforce AI infers this person is a Data Engineer specializing in DevSecOps and secure data platforms.
Location: San Antonio, Texas, United States
Experience: 14 yrs 2 mos
Skills
- Data Engineering
- Devsecops
- Data Analysis
Career Highlights
- Expert in building secure data platforms and workflows.
- Proven track record in data engineering and automation.
- Strong analytical skills with a focus on actionable insights.
Work Experience
Metronome
Data Profiler/Data Engineer - Platform One / UPDM (11 mos)
SwRI Structural Geology & Geomechanics
Data Analyst BIRT SQL Report Developer (10 mos)
US Army
Maintenance Specialist Analyst (3 yrs 6 mos)
Springboard
Data Analyst (2 yrs 8 mos)
GitHub
AI Automation Specialist / Data Engineer (9 yrs 4 mos)
Korea International Cooperation Agency (KOICA)
Lead Clinical Laboratory Scientist (5 yrs 8 mos)
Education
at Arizona State University
Master of Science - MS at University of Maryland Global Campus
Data Analytics Career Track at Springboard
at SQL School (SQL Server DEV, DBA , MSBI & Power BI) Training Institute
Bachelor of Science - BS at Institut Ucac-Icam