Tom Davenport

Tom Davenport is a world-renowned thought leader and author, is the President’s Distinguished Professor of Information Technology and Management at Babson College, a Fellow of the MIT Center for Digital Business, and an independent senior advisor to Deloitte's Chief Data and Analytics Officer Program.

An author and co-author of 25 books and more than 300 articles, he helps organizations to transform their management practices in digital business domains such as artificial intelligence, analytics, information and knowledge management, process management, and enterprise systems. 

He's been named:
A "Top Ten Voice in Tech" on LinkedIn in 2018
The #1 voice on LinkedIn among the "Top Ten Voices in Education 2016"
One of the top 50 business school professors in the world in 2012 by Fortune magazine
One of the 100 most influential people in the technology industry in 2007 by Ziff-Davis
The third most important business/technology analyst in the world in 2005 by Optimize magazine
One of the top 25 consultants in the world in 2003

For more information: http://www.tomdavenport.com/

Visiting Professor

Aga Khan University

Role Overview:
As the Infra and Architecture Lead at Aga Khan University, I have been at the forefront of reimagining data strategies across research and academic domains. My role began with a cross-continental collaboration that required aligning technical operations between Kenya and Pakistan while introducing scalable data architectures. By leveraging Azure-native platforms, I transitioned our fragmented data environment into a centralized intelligence framework that enables real-time insights for faculty and administrators. Through iterative mentorship and collaboration, I nurtured a culture of data ownership and innovation within the team, while introducing MLOps capabilities to streamline AI model deployment for research use. My leadership has contributed to the maturation of our data infrastructure and accelerated time-to-insight for critical decision-making.

Key Achievements:
1. Centralized data operations via Azure Synapse-based data warehouses, enabling consistent access to multi-source analytics.
2. Deployed real-time Azure EventHub integrations that significantly increased research data availability and visibility.
3. Launched MLOps strategies that accelerated machine learning deployment cycles across multiple research units.
4. Mentored four team members, automating pipelines and enhancing institutional analytics capacity.

Senior Data Engineering Lead – Infrastructure & Architecture

Copia Global

Role Overview:
At Copia Global, I led the design and deployment of scalable cloud-native data systems using AWS technologies. As part of a distributed team across Africa and Asia, I focused on building resilient Lambda-based architectures, integrating RESTful APIs, and implementing data solutions that powered core business intelligence functions. My strategic thinking supported long-term data infrastructure goals and ensured seamless pipeline orchestration.

Key Achievements:
1. Engineered AWS Lambda systems processing over 2.5 million records daily.
2. Integrated REST APIs with serverless infrastructure for real-time data streaming.
3. Boosted data freshness by 85% through advanced automation strategies.
4. Collaborated remotely with cross-border teams to ensure system scalability and consistency.

Senior Data Engineer(AWS)

Role Overview:
Data Warehouse Manager, I led enterprise-level initiatives to modernize and scale Copia’s data warehousing capabilities. I managed cloud-native architecture strategies and governed the seamless replication and integration of data from multiple sources. My leadership enabled consistent reporting, regulatory alignment, and effective data governance across regions.

Key Achievements:
1. Cut MLOps infrastructure costs by 60% through optimized resource management.
2. Spearheaded data governance council, elevating compliance standards.
3. Unified data warehouse layers using Redshift and Postgres replication.
4. Enabled cross-functional insight generation by establishing central data lakes.

Data Warehouse Manager

Zubale

Role Overview:
At Zubale, I joined as a remote senior contractor charged with optimizing data flow architectures across Latin American markets. I led the integration of scalable, cost-efficient pipelines tailored for a fast-paced gig economy platform. Partnering across borders, I worked with engineering and operations teams in Mexico, Brazil, and the U.S. to unify disparate data sources into a real-time analytics platform powered by GCP. My role demanded agility in navigating evolving business needs while aligning with DevOps and DataOps principles. I architected scalable systems to accommodate growth while ensuring integrity, latency reduction, and improved executive decision-making through comprehensive dashboarding.

Key Achievements:
1. Cut infrastructure costs by 20% through the redesign of Kafka ingestion and BigQuery schema structures.
2. Established DataOps frameworks that reduced deployment times by 50%, improving responsiveness to business needs.
3. Automated GCP ML workflows, enabling reliable model scalability across dynamic environments.
4. Developed microservices that eliminated legacy data inconsistencies and enabled a single source of truth.

Senior Big  Data Engineer/Architect

Zealtech Data Solutions

Role Overview:
At Zealtech, I led business intelligence transformation projects, integrating diverse datasets into cohesive, analytics-ready systems. I partnered with business leaders to implement 360-degree customer insights and predictive modeling strategies. My role involved advising on the technical infrastructure and delivering practical training to improve the use of BI tools, enabling data-driven decision-making across departments.

Key Achievements:
1. Launched unified customer 360 data marts to enhance campaign targeting precision.
2. Boosted BI tool adoption by 40% through structured virtual workshops.
3. Designed predictive ML models for churn reduction and market segmentation.
4. Advised C-suite on BI tool procurement and data infrastructure strategy.

Business Intelligence & Analytics Consultant

Crop Nutrition Laboratory Services (Cropnuts)

Role Overview:
In this role, I delivered robust analytics and support solutions for an agritech-focused organization, optimizing SQL queries, developing internal efficiency tools, and ensuring database performance for growing agricultural datasets. I integrated secure authentication platforms and improved reporting delivery systems to accelerate service delivery.

Key Achievements:
1. Achieved 99% customer segmentation coverage through precision KPI modeling.
2. Cut SQL query runtime by 30% via performance tuning and schema redesign.
3. Integrated secure Okta authentication across platforms.
4. Developed automated reporting templates, cutting turnaround time.

Data Analytics and Supports Engineer(Digital Ocean)

SkyTOP Technologies Limited

Role Overview:
At Skytop Technologies, I designed and developed custom software solutions to support BI adoption and streamline operations. I played a central role in system integration and testing, supporting clients in transitioning to automated data environments and building platforms that aligned with strategic goals.

Key Achievements:
1. Developed customized BI systems for SMEs, improving reporting accuracy.
2. Automated internal tracking tools that supported data-backed decision-making.
3. Conducted user testing sessions, increasing software adoption.
4. Integrated data sources, reducing manual entry across departments.

Software Developer

Kenya National Examinations Council (KNEC)

Role Overview:
Supported the development and maintenance of secure data systems used in national exam administration, ensuring data accuracy, system integrity and timely processing during high-stakes education cycles.

Key Achievements:
1. Improved examination data validation processes, reducing processing time by 30%.
2. Streamlined database reporting for real-time monitoring and decision-making.
3. Strengthened data security protocols, enhancing confidentiality and compliance.

Data Systems Analyst (Contract)

Redbric Consultancy

Role Overview:
Supported research design and data collection across socio-economic development projects. Ensured data integrity, conducted quantitative analyses, and drafted technical reports for various NGOs and institutional clients.

Key Achievements:
1. Supported multi-region data collection efforts across Kenya.
2. Created summary reports used in project evaluations.
3. Ensured data integrity through structured QA frameworks.
4. Facilitated focus group interviews and insights generation.

Assistant Research Officer

Ahero Sub County Hospital

Role Overview:
In my foundational role, I supported health information systems by managing patient records, extracting key statistics, and ensuring data accuracy for internal health planning. I worked closely with healthcare teams to improve data handling processes and compliance reporting.

Key Achievements:
1. Digitized patient health records for faster access.
2. Produced monthly health statistics for government submission.
3. Trained in hospital data systems and confidentiality standards.
4. Assisted in policy documentation reviews for accuracy.

Health Information Systems Assistant

WINAM CHEMISTS LTD

Database Management & Stock Controller

Senior Data Engineer/Architect @ Aga Khan University

As a 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐥𝐨𝐮𝐝 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 professional with 9+ years of experience, I specialize in building scalable platforms, architecting cloud-native systems and deploying MLOps pipelines across AWS, GCP and Azure. I’ve consistently delivered transformative solutions that 𝐬𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐞 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬, 𝐫𝐞𝐝𝐮𝐜𝐞 𝐜𝐨𝐬𝐭𝐬 𝐚𝐧𝐝 𝐩𝐨𝐰𝐞𝐫 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬. My expertise spans 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧, 𝐛𝐢𝐠 𝐝𝐚𝐭𝐚 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐦𝐨𝐝𝐞𝐥𝐢𝐧𝐠 __skills that I’ve applied across sectors from healthcare to e-commerce, enabling data-driven decisions in complex, global settings

𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐒𝐮𝐦𝐦𝐚𝐫𝐲:
I’ve led high-impact data initiatives at institutions such as Aga Khan University, Zubale and Copia, collaborating with global, cross-functional teams in Africa, Latin America and Asia. My work includes launching enterprise data warehouses, managing cloud migrations, automating ML pipelines and championing data governance strategies. I’ve developed and deployed tools that enhance system resilience, data freshness and model scalability; helping organizations align technology with business strategy through effective communication and agile leadership.

Key Skills:
Cloud Architecture | Data Engineering | MLOps Deployment | Azure Synapse | GCP & AWS | Kafka | Apache Flink | Data Lakehouse | Predictive Modeling | ETL Pipelines | BI Tools (Power BI, Looker) | FastAPI | Kubernetes | SQL & NoSQL Databases | Data Governance | Real-Time Analytics

𝐒𝐢𝐠𝐧𝐢𝐟𝐢𝐜𝐚𝐧𝐭 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬:
◈ Reduced infrastructure setup time by 40% and program costs by 60% through automation and streamlined architecture.
◈ Designed Lambda architecture processing over 250k rows daily at Copia.
◈ Cut architecture costs by 20% by optimizing Kafka-BigQuery integration at Zubale.

𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐏𝐡𝐢𝐥𝐨𝐬𝐨𝐩𝐡𝐲 𝐚𝐧𝐝 𝐆𝐨𝐚𝐥𝐬:
I’m driven by a passion to turn complex data into strategic insights that shape smarter, faster decisions. As I continue to deepen my expertise in cloud-native data platforms and AI-driven analytics, my goal is to lead transformative data programs that create lasting impact across industries.

Let’s connect! I welcome opportunities to collaborate on cutting-edge data infrastructure, cloud solutions or machine learning initiatives. Open to networking, partnerships and sharing ideas that advance innovation in data and technology.

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Tom Davenport

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