Open to full-time roles

Hi, I'm Victor Kituku

Data & Analytics Engineer

I design and operate cloud data platforms on Azure and Microsoft Fabric — turning raw operational data into governed, analytics-ready assets, automated reporting, and AI-ready semantic layers.

View my work Download resume

About me

3 years of experience designing, building, and operating data platforms that turn raw data into usable, governed assets.

I founded Shujaa Data Systems, where I lead client data platform engagements end to end — owning technical direction, reviewing solution designs, mentoring engineers, and translating stakeholder needs into technical specifications. Before that I built integrations, automations, and learning-analytics systems across consulting and edtech.

Day to day I'm hands-on across Azure and Microsoft Fabric: ETL/ELT pipelines, lakehouse and warehouse design, dimensional modeling, and automated data quality monitoring — with a strong DevOps practice and governance aligned to the Kenya Data Protection Act.

Python SQL PySpark Microsoft Fabric Azure Power BI

Data engineering

ETL/ELT pipelines, batch and real-time processing with CDC, medallion lakehouse and warehouse design.

Analytics & BI

Dimensional models, semantic layers, and Power BI dashboards that give teams one accurate view.

DevOps & automation

CI/CD, automated deployment, monitoring and alerting, incident response, and workflow automation.

Technical skills

The toolkit I use to build and run data platforms end to end.

Cloud & data platforms

Azure Azure Data Factory Azure SQL Microsoft Fabric OneLake Logic Apps Lakehouse & Warehouse

Data engineering

SQL Python PySpark dbt Airflow Kafka Debezium CDC ETL / ELT

Analytics & modeling

Power BI Excel & Power Query Dimensional modeling Star & snowflake Medallion architecture Semantic layers PostgreSQL SQL Server

DevOps & automation

CI/CD Git Infrastructure as Code Monitoring & alerting Incident response n8n Make.com REST APIs

Years in data

45%

Less manual data handling

35%

Faster pipeline processing

50%

Manual intake effort cut

Featured projects

Selected work across data platforms, automation, and analytics — from client engagements and portfolio builds.

Microsoft Fabric medallion architecture on OneLake

Microsoft Fabric analytics & AI platform

Centralised data platform on OneLake with Lakehouse and Warehouse layers, Data Factory and Dataflows Gen2 pipelines, and Power BI on shared dimensional models.

Microsoft Fabric OneLake Power BI

Medallion Bronze / Silver / Gold model Governed semantic layer for BI & AI Served to AI agents via MCP

AI intake & data automation pipelines

AI-assisted intake pipelines that capture, validate, transform, route, and synchronise customer data into CRM systems for client businesses.

n8n VAPI REST APIs

50% less manual intake effort Validation & error handling built in GoHighLevel CRM sync

Client data platforms at Shujaa

Secure cloud data environments integrating CRM, application, API, and operational sources into governed Lakehouse and Warehouse layers.

Azure Data Factory Microsoft Fabric Python

45% less manual data handling 35% faster pipeline processing Automated quality monitoring

CRM & operations integration

Batch and event-driven integration pipelines at Strmflow, synchronising CRM and operational systems across distributed environments.

Python SQL n8n Make.com

40% less manual reconciliation Source-to-target mapping & migration Retry logic & structured monitoring

Learning analytics at MwalimuPLUS

Dashboards and data management for an edtech LMS — tracking learner performance, content engagement, and STEM metrics for management, NGOs, and school boards.

Dashboards SQL Data governance

Reporting behind funding decisions Early anomaly detection audits Kenya DPA-aligned access controls

Operational reporting platform

Centralised reporting on Microsoft Fabric, modelling sales, inventory, and activity data into shared fact and dimension tables.

Microsoft Fabric Power BI SQL

One accurate view for reviews 35% less report prep time Reconciliation & exception reports

Experience

3 years across data engineering, analytics, and automation — from founding a data consultancy to edtech and client delivery.

Founder & lead data engineer

Shujaa Data Systems · Kenya

Current

·Own technical direction for client data platform engagements — reviewing designs, tracking delivery, and mentoring engineers. ·Design and operate governed Lakehouse and Warehouse environments on Microsoft Fabric and Azure Data Factory. ·Automate deployment, monitoring, validation, and alerting across environments, managing incidents through to resolution.

Microsoft Fabric Azure Python CI/CD

Data integration & automation consultant

Strmflow · Remote

·Led design and delivery of batch and event-driven integration pipelines synchronising CRM and operational systems. ·Owned source-to-target mapping, migration, reconciliation, and error handling across multi-system implementations.

Python REST APIs n8n Make.com

Data officer

MwalimuPLUS · Kenya

·Managed student, teacher, and school databases behind the MwalimuPLUS learning management system. ·Built analytical dashboards for management, partner NGOs, and school boards, reporting learning gains and STEM metrics.

SQL Dashboards Data governance

Automation & data engineer

Fun Automations · Kenya

·Developed custom APIs and backend integrations moving structured data between business apps, CRMs, and analytics tools. ·Designed automated data workflows with validation, logging, deployment, and operational monitoring.

TypeScript Next.js REST APIs

EDUCATION

BSc Business Information Technology

Technical University of Kenya · Second class upper

CERTIFICATE

Data engineering

LuxDevHQ

CERTIFICATE

Data science

Ngeni Labs

Get in touch

I'm open to full-time data engineering and analytics roles — and always happy to talk data platforms.

Email victorkituku@gmail.com Phone / WhatsApp +254 716 694 890

Location Kenya · open to remote

Let's connect

Whether you're hiring for a data role, need a second opinion on a platform design, or want to talk Fabric and Azure — I'd love to hear from you.