Marshall Taah

Data Engineer

San Antonio, Texas, United States14 yrs 2 mos experience
Most Likely To SwitchHighly Stable

Key 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.
Stackforce AI infers this person is a Data Engineer specializing in DevSecOps and secure data platforms.

Contact

Skills

Core Skills

Data EngineeringDevsecopsData Analysis

Other Skills

Apache AirflowGitHubPowerShellYAMLAI-generated contentGoogle SitesAirtableReplitAWS S3DataHubMkDocsPythonPL/SQLSQL Server Reporting Services (SSRS)BIRT Project

About

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.

Experience

14 yrs 2 mos
Total Experience
4 yrs 10 mos
Average Tenure
9 yrs 4 mos
Current Experience

Metronome

Data Profiler/Data Engineer - Platform One / UPDM

Apr 2024Mar 2025 · 11 mos · United States · Hybrid

  • Supported the U.S. DoD's Unified Platform Data Management (UPDM) by helping build a Modern Data
  • Fabric MVP for USCYBERCOM, enabling cross-org data sharing via secure ingest/transport services.
  • As a core team member of the Ingest/Transport team, built and maintained ingestion pipelines using Airflow
  • DAGs, and AWS S3, orchestrating structured metadata into DataHub.
  • Delivered regular MVP sprint demos to government stakeholders, ensuring clarity around ingestion
  • workflows, IAM policies, and platform readiness.
  • Produced internal-facing and public-friendly documentation for developers, admins, and app users using
  • MkDocs with enhanced navigation, flowcharts, and YAML automation.
  • Conducted product research and presented low-code/no-code recommendations to government product
  • owners-evaluating and summarizing 20+ tools and frameworks.
  • Improved demo quality and cross-functional planning velocity by 30% through better diagramming, backlog
  • grooming, and pre-sprint stakeholder coordination.
Data EngineeringDevSecOpsApache AirflowAWS S3DataHubMkDocs+1

Swri structural geology & geomechanics

Data Analyst BIRT SQL Report Developer

Jun 2023Apr 2024 · 10 mos · San Antonio, Texas, United States · Hybrid

  • Designed SQL-driven BIRT reports and Excel dashboards to support resource planning and compliance
  • across departments.
  • Reduced time-to-delivery for project management reports by 35% through dynamic query templates and
  • reusable formats.
  • Delivered insights on workforce scheduling and productivity to leadership stakeholders via visual reports.
PL/SQLSQL Server Reporting Services (SSRS)BIRT ProjectMicrosoft ExcelJavaScriptPython+1

Us army

Maintenance Specialist Analyst

Oct 2020Apr 2024 · 3 yrs 6 mos · Joint Base Lewis-McChord, WA, United States

  • Diagnosed and documented vehicle system faults using MSD and IETMs for Stryker-class units.
  • Authored SOPs and visual maintenance workflows adopted across platoon-level operations, improving
  • repair turnaround by 20%.
  • Developed Excel-based fault tracking system used by maintenance leads to improve visibility and reduce
  • oversight gaps.
Report Building

Springboard

Data Analyst

Feb 2018Oct 2020 · 2 yrs 8 mos · United States · Remote

  • Successfully executed comprehensive projects focusing on urgent business challenges; reducing chicken waste and minimizing employee turnover rates. Projects involved rigorous analysis, modeling, and presentation of actionable insights to stakeholders.
  • Mastered a suite of analytical tools including Excel, SQL, Power BI, and Tableau, and utilized Alteryx for data blending and automation, gaining proficiency in data profiling, data analysis, visualization, and storytelling. Implemented skills in financial and econometric analysis, multivariate regression modeling, and time series analysis using Python and MySQL.
  • Exercise strong problem-solving skills through completion of mini-projects such as issue and value driver tree analysis, financial EBIT analysis, and cost-curve econometric analysis. Applied structured thinking foundations to dissect complex business problems and derive actionable solutions.
  • Demonstrated expertise in presenting business insights to diverse stakeholders, blending executive, technical, and non-technical fundamentals. Demonstrated proficiency in data profiling, data storytelling and visualization techniques using platforms like Tableau and Power BI to convey findings effectively.
  • Acquired a comprehensive skillset spanning statistical analysis, multivariate regression modeling, data wrangling, and model evaluation. Demonstrated competence in applying analytical techniques to derive meaningful insights and drive informed decision-making processes.

Github

AI Automation Specialist / Data Engineer

Jan 2017Present · 9 yrs 4 mos · Texas, United States · Remote

  • Built and deployed 300+ dynamic affiliate funnels across SaaS categories using GitHub Pages, Google Sites, Airtable, and Replit.
  • Automated lead-to-offer journeys with PowerShell scripts, YAML-driven routing, and AI-generated funnel content (ChatGPT, OpenAI API).
  • Integrated Acumbamail for email automation and smart redirects, boosting opt-in to click-through conversion by 47%.
  • Designed a modular, metadata-informed folder structure to scale funnel generation by category with zero manual edits.
  • Used VS Code, GitHub, and OpenAI tools to build, test, and maintain campaign templates and backend flows.
Data EngineeringDevSecOpsApache AirflowGitHubPowerShellYAML+1

Korea international cooperation agency (koica)

Lead Clinical Laboratory Scientist

Mar 2012Nov 2017 · 5 yrs 8 mos · Centre, Cameroon · On-site

  • Analyzing laboratory data, interpreting test results, and providing consultation to healthcare providers on test selection, interpretation, and clinical significance to support patient care and treatment decisions.
  • Lead a team of clinical laboratory scientists and technicians, providing guidance, training, and support to ensure optimal performance and adherence to protocols and regulations.
  • Leveraged SQL to extract and compile comprehensive historical clinical laboratory data from the laboratory information management system, querying specific datasets based on criteria such as test orders, turnaround times, and quality control metrics.
  • Formatted Excel sheets to organize and structure collected data in a clear and accessible manner, facilitating efficient analysis and interpretation of key findings.
  • Employed SQL aggregation functions such as SUM, AVG, and COUNT to calculate summary statistics and metrics, providing insights into key performance indicators (KPIs) such as average turnaround times and total test orders.
  • Leveraged a wide range of Excel formulas and functions such as VLOOKUP, SUMIFS, and Pivot-tables to perform calculations, analyze trends, and create visualizations, enhancing data-driven decision-making processes.

Education

Arizona State University

University of Maryland Global Campus

Master of Science - MS — Data Analytics

Jan 2023Jan 2025

Springboard

Data Analytics Career Track

Feb 2020May 2021

SQL School (SQL Server DEV, DBA , MSBI & Power BI) Training Institute

Jan 2017Present

Institut Ucac-Icam

Bachelor of Science - BS — Clinical Laboratory Science

Sep 2009Dec 2012

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