FEATURED RECOGNITIONS
WAI Changemaker Award — National Public Health Conference
I was honored to receive the Changemaker Award at the CDC Foundation’s Workforce Acceleration Initiative (WAI) Annual Summit, a national-level recognition for impactful contributions to public health data modernization.
This award highlights my work in transforming the Bear River Health Department’s data ecosystem from fragmented, manual, CSV-based workflows into a scalable, automated, and real-time analytics platform.
My Role & Impact:
As a Data Engineer under the CDC Foundation’s WAI program, I partnered closely with public health leadership to design and deliver an end-to-end data transformation strategy.
-
Architected and maintained a scalable data warehouse powering a unified KPI ecosystem across multiple public health programs
-
Built automated, low-cost cloud data pipelines (leveraging BigQuery, Apache NiFi, and open-source BI tools) to eliminate manual reporting inefficiencies
-
Designed and delivered 50+ KPI interactive dashboards, converting static CSV datasets into near real-time, decision-ready insights
-
Led user-centered design sessions with clinical, behavioral health, and environmental teams to ensure dashboards were intuitive, accessible, and actionable
-
Improved data accessibility and usability through simplified visuals, clear labeling, and optimized layouts tailored for non-technical users
-
Reduced enterprise analytics costs from tens of thousands annually to under $220/month, enabling replication across rural and budget-constrained health departments
-
Enabled leadership to make faster, data-driven decisions, strengthening policy communication, grant justification, and community health interventions
Innovation & Emerging Technology:
Recognized for my innovative and creative approach, I also initiated a proof-of-concept for Agentic AI-driven data agents, designed to:
-
Allow non-technical public health users to interact with data using natural language
-
Automate data retrieval, summarization, and insight generation
-
Provide flexible, self-service analytics capabilities without dependency on technical teams
-
Lay the foundation for AI-assisted decision-making in public health environments
This forward-looking initiative demonstrates how AI + data engineering can further democratize access to critical health insights.
Recognition Details:
The award was presented by Shannon Woods (Project Manager / Supervisor) and Michelle Panneton (Director) at the national WAI conference.
___________________________________________________________________________________
CDC Foundation LinkedIn Feature — Workforce Acceleration Initiative (WAI)
I was honored to be featured by the CDC Foundation through its official Workforce Acceleration Initiative (WAI) spotlight, recognizing my contributions as a Data Engineer supporting the Bear River Health Department in Utah.
The feature highlighted my work modernizing public health reporting systems and helping develop scalable dashboard solutions that improve how public health teams access, analyze, and use critical data for operational and community decision-making.
As part of the national WAI initiative, the CDC Foundation placed data and technology professionals across public health agencies throughout the United States to strengthen public health infrastructure, analytics capabilities, and modernization efforts.
In the feature, I shared insights about my experience supporting Bear River Health Department’s data modernization initiatives and my interest in continuing to contribute to the future of public health technology and analytics.
Feature Overview
-
Featured through the CDC Foundation’s official LinkedIn/public outreach platform
-
Recognized as part of a national workforce modernization initiative
-
Highlighted for contributions to public health analytics and dashboard modernization
-
Represented the Bear River Health Department’s data modernization efforts through WAI
Scalable Public Health Innovation
A key part of this initiative involved helping design and implement a scalable, low-cost public health data architecture capable of supporting multiple health departments and public sector programs.
The platform was built using modern cloud technologies, automated ETL pipelines, and open-source analytics solutions to reduce dependency on expensive enterprise systems while improving reporting efficiency, accessibility, and real-time visibility for leadership teams.
This scalable architecture model was designed with replication in mind — enabling rural and budget-constrained health departments to adopt modern analytics infrastructure at significantly reduced operational costs while maintaining flexibility, performance, and long-term sustainability.
Click below to watch the featured spotlight video posts and learn more about the initiative.
___________________________________________________________________________________
Official Presenter — National Public Health Data Innovation Showcase
CDC Foundation | WAI Annual Summit 2026
Selected as an official presenter at the CDC Foundation’s Workforce Acceleration Initiative (WAI) Annual Summit 2026, a national-level public health conference, to present my work on modernizing public health data systems using scalable, low-cost architecture.
This presentation was formally reviewed and approved for national showcase, recognizing the project’s innovation, practical impact, and potential for replication across health departments.
Presentation Focus:
The presentation highlighted a transformational shift in public health analytics, demonstrating:
-
Transition from manual, fragmented reporting systems to an integrated, real-time data platform
-
Application of cost-efficient, cloud-native and open-source technologies in government/public health environments
-
A scalable and replicable model designed specifically for resource-constrained and rural health departments
-
Measurable improvements in operational visibility, reporting speed, and decision-making efficiency
National Visibility & Recognition:
-
Selected among WAI initiatives to be presented at a national conference attended by public health leaders, program managers, and data professionals
-
Positioned as a representative implementation of modern data engineering practices in public health
-
Contributed to knowledge-sharing discussions around data modernization, system scalability, and digital transformation
Forward-Looking Contribution:
As part of the presentation, I also introduced early concepts around AI-enabled data interaction, including:
-
Exploration of Agentic AI-based data agents for non-technical users
-
Enabling natural language-driven access to public health data systems
-
Advancing the vision of self-service, intelligent analytics in public sector environments
Closing Statement:
This selection as an official presenter reflects recognition of my work at a national level, demonstrating not only technical execution but also the ability to contribute to broader public health data innovation conversations and influence scalable solutions beyond a single organization.
Click below to learn more about the initiative.
___________________________________________________________________________________
From Paper to Pixels: Rebooting Public Health Data – CDC Foundation Feature
I was honored to be featured by the CDC Foundation for my work transforming the Bear River Health Department’s data systems from manual, paper-based workflows into an automated, unified, modern data platform.
As a Data Engineer hired under the CDC Foundation’s Workforce Acceleration Initiative (WAI), I partnered closely with Bear River leadership to rebuild the department’s analytics foundation—end-to-end.
My Role & Impact:
-
Designed and maintained the data warehouse architecture powering the entire KPI dashboard ecosystem.
-
Built automated, low-cost, cloud data pipelines (BigQuery, NiFi, open-source BI) that replaced outdated manual processes.
-
Led user-centered dashboard design: meeting with clinical, environmental health, behavioral health, and community staff to simplify visuals, improve readability, and ensure every chart answered a real question.
-
Ensured KPIs were accessible, fast, and accurate—helping leadership quickly understand program effectiveness and spot areas needing support.
-
Optimized accessibility with clear labels, large fonts, numeric callouts, and simplified tooltips for non-technical staff.
-
Helped reduce an enterprise-level dashboard cost (normally tens of thousands of dollars) to under $220/month, making the solution replicable by rural and budget-constrained departments nationwide.
-
Delivered a system that empowers Bear River to educate lawmakers, strengthen outreach, and improve community health outcomes with real-time data.
Quoted in the Story
“Changing from manual inputs to automation is like switching from gasoline cars to electric cars. This dashboard lets the health department make decisions more quickly and stop wasting time searching for data.”
— Venkata Namuduri, CDC Foundation Data Engineer
This feature represents one of the most meaningful projects of my career—solving real public health challenges through low-cost, scalable technology, and contributing to a national data modernization movement.
Read the Full Story
Click below to read the complete CDC Foundation feature:
From Paper to Pixels: Rebooting Public Health Data
.jpg)
.jpg)
___________________________________________________________________________________
Workforce Acceleration Initiative (WAI) Impact Newsletter – CDC Foundation
I was honored to be highlighted in the CDC Foundation’s national WAI Impact Newsletter, which features impactful stories, quotes, and accomplishments from public health data modernization professionals across the United States. The newsletter recognized my ongoing contribution to transforming data systems at the Bear River Health Department, strengthening data practices, and advancing modern public health infrastructure.
This national recognition places my work alongside other WAI leaders and data experts who are modernizing public health data systems across the country — from interoperability and standards, to EHR integration, to advanced analytics and real-time disease detection.
My Role & Contribution (as featured in the newsletter)
-
Supporting public health modernization as a Data Engineer for Bear River Health Department, under the CDC Foundation’s Workforce Acceleration Initiative (WAI).
-
Enhancing data system interoperability, promoting modern data exchange formats, and strengthening health department analytics foundations.
-
Helping implement efficient, scalable, and transparent data systems that improve how public health teams use, share, and trust critical health data.
-
Driving best practices in data quality, governance, and automation within the department.
-
Representing the workforce cohort nationally through insights, shared learning, and participation in WAI community initiatives.
Quoted in the Newsletter
“I am hopeful that my involvement with WAI ensures that the CDC Foundation's contributions are recognized and leveraged effectively in academic and practical settings.”
— Venkata Sravan Namuduri, Data Engineer, Bear River Health Department
This quote highlights my commitment to ensuring that the data systems, dashboards, and modernization strategies we build continue delivering value long after project completion — supporting both ongoing public health work and future innovation.
View the WAI Newsletter Feature
Click here to read the full WAI Impact Newsletter
WAI News Letter
In addition, my work was featured as a testimonial on the CDC Foundation’s official Careers website, recognizing my contributions to public health data modernization through the Workforce Acceleration Initiative (WAI).
Click here to view Testimonial
