MOSES G.
Solutions Architect | Cloud Architecture | MLOps | Data Platforms
Houston,TX
Summary
Solutions Architect with 10+ years of experience designing and deploying cloud-native analytics, data, and machine learning platforms across AWS and Azure. Skilled at modernizing legacy systems, building MLOps pipelines, and architecting scalable, secure, and cost-optimized solutions that accelerate business insights. Blend strong statistics and data science foundations (B.Sc. Statistics, M.Sc. Data Science) with production-grade engineering to deliver robust architectures for enterprise teams. Known for partnering directly with technical and business stakeholders to work backward from customer needs, lead design workshops, guide architectural decisions, and foster high-performing data and engineering teams. Passionate about building systems that scale and enabling organizations to adopt cloud and AI technologies effectively
Overview
11
11
years of professional experience
3
3
Certification
Work History
Senior Data & Cloud Architect
City of New York
12.2023 - Current
• Architected and deployed AWS-based analytics pipelines (Glue, Lambda, S3, Redshift) supporting 200+ stakeholders,
reducing batch processing time by ~30% and enabling near–real-time insights for operational and executive teams.
• Designed and executed cloud migration strategy to modernize legacy Oracle and Teradata systems into a unified
Databricks/Snowflake architecture, improving scalability and lowering compute costs.
• Built end-to-end MLOps pipelines using SageMaker, Docker, MLflow, and GitHub Actions, automating model training,
deployment, and monitoring to meet enterprise governance standards.
• Led architecture & design workshops with business leaders to evaluate trade-offs across AWS services, document
reference architectures, and align solutions with long-term cloud strategy.
• Mentored engineers and analysts, improving team productivity by ~20% and strengthening cloud-native solution
design capabilities.
• Interfaced directly with customers, stakeholders and end-users regarding capability architectures, requirements use
cases and stories to derive, develop and decompose next-cycle updates and specifications.
Data Science Manager /Data Engineering Lead
City of New York
11.2019 - 12.2023
• Designed and implemented large-scale ETL pipelines across AWS and Databricks integrating Teradata, Oracle, and flat- file systems, increasing operational efficiency by ~30%.
• Architected star-schema data models and BI dashboards (Power BI, Tableau), reducing reporting turnaround by 35% and enabling self-service analytics for 200+ users.
• Built a comprehensive data quality & auditing framework, reducing critical data issues and improving trust in
production analytics.
• Collaborated with IT security, finance, and operations to define cloud requirements, access controls, DR plans, and
performance SLAs.
• Supervised and coached a team of 5 data professionals, raising engineering maturity and analytic capability.
Senior Data Analyst /Senior Data Engineer
New York City Department of Environmental Protection
10.2019 - 11.2019
•Developed predictive analytics models and statistical solutions improving forecasting accuracy and operational
efficiency across healthcare, government, and financial clients.
• Automated reporting and data workflows using Python, SQL, and Azure Data Factory, reducing processing time by up to 40%.
• Designed dashboards and KPIs enabling stakeholders to track program performance and make data-driven decisions.
• Established early MLOps practices including experiment tracking, reproducible model pipelines, and automated model
scoring.
Data Research Analyst
New York City Department Of Education
09.2014 - 10.2018
• Conducted in-depth longitudinal analysis of student performance using SQL, Excel and R, driving a 20% improvement in test scores by identifying key performance gaps.
• Designed and implemented data-driven curriculum optimization experiments, reducing inefficiencies by 25% and enhancing learning outcomes.
• Translated complex data insights into actionable recommendations, presenting findings to senior stakeholders and aligning strategies with educational objectives.
• Partnered with school administrators and educators to develop interactive dashboards, streamlining student progress tracking and informing data-driven instructional decisions.
• Designed and implemented training sessions for staff on effective data utilization practices.
Education
Post-Graduate Certificate - Cloud Computing
The University of Texas at Austin
05.2025
Master of Science - Data Science
City University of New York
06.2018
Bachelor of Science - Statistics
University of Ilorin
06.2011
Skills
Cloud Platforms: Azure (AKS, ARM),
AWS (EC2, EKS), GCP
DevOps tools: JIRA, Jenkins, Slack,
AzureDevOps
Build Tools: Ant, Maven, MS Build
SCMs: SVN, Git, GitHub, Bitbucket,
GitLab, Azure Git
IAC Tools: Terraform,
CloudFormation
Containers/Orchestration: Docker,
Kubernetes
Application/Web Servers: Tomcat,
WebLogic 9.x/10.x/12c, Apache
2.x/1.3.x, JBoss 7.1
Operating Systems: Ubuntu 18.0.4,
Red Hat Linux, Windows, HP-UX and
Solaris 10
Programming & Scripting
Languages: Ruby, Python, Shell
scripting, UNIX Shell Scripts (Ksh,
Bash), Git Bash
Web Technologies : HTML5, CSS3,
JavaScript, JSON
Frameworks and Libraries: Angular,
Flask, RESTful APIs, React
Database Technologies: Oracle, SQL
Server, MySQL, PostgreSQL, S3, RDS,
DynamoDB
Methodologies: Agile, Scrum Networking/Security Tools: IAM,
ELB, Putty, VMware
Certification
• Certified AWS Certified Solutions Architect – Professional, Microsoft
• Certified AWS Certified Solutions Architect – Associate, Microsoft
• Certified Power BI Associate, Microsoft
• Certified Database Fundamentals (T-SQL), Microsoft
Awards
Recognized for Outstanding Leadership in mentoring junior data scientists and driving cross-functional collaboration at City of New York.
Accomplishments
• Developed a predictive analytics pipeline using Python and Scikit-learn to identify high-risk properties for health and safety violations, based on historical inspection, complaint, and maintenance data.
• Integrated multi-source data using SQL and PySpark in Databricks, ensuring clean, scalable datasets for machine learning model training.
• Designed and published Power BI dashboards for operational managers and field inspectors to visualize risk levels across buildings, zones, and violation types.
• Built a forecasting model using R and AWS SageMaker to predict peak inspection periods and optimize inspector scheduling, improving field coverage and reducing overtime costs by 20%.
• Automated data extraction and cleansing using SQL scripts, enhancing the timeliness of inspection reports.
• Conducted clustering analysis to group buildings based on historical violations, population vulnerability, and inspection history to develop proactive inspection routes.
• Designed and implemented a financial forecasting system using predictive modeling (Random Forest, Linear Regression) to simulate various budget scenarios.
• Used Azure Machine Learning to deploy models and monitor performance in real-time.
Affiliations
- American Statistical Association
- American Society for Quality
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Languages
English
Native or Bilingual
Timeline
Senior Data & Cloud Architect
City of New York
12.2023 - Current
Data Science Manager /Data Engineering Lead
City of New York
11.2019 - 12.2023
Senior Data Analyst /Senior Data Engineer
New York City Department of Environmental Protection
10.2019 - 11.2019
Data Research Analyst
New York City Department Of Education
09.2014 - 10.2018
Post-Graduate Certificate - Cloud Computing
The University of Texas at Austin
Master of Science - Data Science
City University of New York
Bachelor of Science - Statistics
University of Ilorin