01
Data Engineering
Designing automated pipelines, cloud data platforms, transformation workflows, and dependable datasets built for downstream use.
- ETL / ELT pipelines
- Cloud data lakes
- Workflow orchestration
Data engineering · Data analysis · Business intelligence
Turning complex data into clear decisions.
Hi, I’m Ian Mungai. I build reliable data pipelines, shape analytics-ready datasets, and create business intelligence solutions that help teams move from information to action.
Build
Analyze
Visualize
Open to data opportunities
About
From raw data to business value.
I work across the data lifecycle: collecting and transforming source data, investigating patterns, defining meaningful metrics, and delivering reports that make those insights useful.
My approach brings engineering discipline and analytical curiosity together. The goal is not simply to move data or build dashboards—it is to create trusted, understandable data products that support better decisions.
Core expertise
Three connected data disciplines.
Each discipline strengthens the others, creating a practical path from source systems to insight.
02
Data Analysis
Exploring complex datasets, validating assumptions, modeling relationships, and translating findings into clear recommendations.
- Exploratory analysis
- Statistical modeling
- Insight communication
03
Business Intelligence
Building dashboards, reporting models, and KPI frameworks that make performance visible and keep stakeholders aligned.
- Interactive dashboards
- KPI design
- Automated reporting
Toolkit
Modern data stack.
A growing toolkit spanning current work and the specialized portfolio projects on my roadmap.
01 · Build
Data engineering
Airflow
Airbyte
AWS
Snowflake
dbt
Delta Lake
Great Expectations
Terraform
Spark
Kafka
Databricks
PostgreSQL
Docker
MongoDB
GitHub Actions
02 · Analyze
Data analysis
Jupyter
MLflow
Elasticsearch
03 · Communicate
Business intelligence
Power BI
Tableau
Grafana
Selected work
Portfolio projects.
End-to-end projects that connect data infrastructure, analysis, and decision support.
Healthcare Analytics Capstone
A cloud-based data engineering and analytics platform that ingests public CMS hospital quality data, curates it into trusted datasets, and prepares outputs for reporting, visualization, and predictive modeling.
Data sources
Five CMS hospital quality domains
Outcome
Analytics and regression-ready datasets
Pipeline architecture
End to end
CMS datasets
Public hospital quality data
Airflow + S3
Orchestrated cloud ingestion
AWS Glue
Clean, transform, and curate
SQL + notebooks
Analysis and modeling outputs
Professional journey
Experience.
A background across client services, consulting, technical delivery, and data analysis.
Client Services Supervisor
SPS North America
Technical Project Manager (Consultant)
Gametribe
Data Analyst (Consultant)
Techsage Solutions Ltd
ERP Consultant
Techsential Consulting Ltd
Data Analyst (Consultant)
Jambobet
Technical Support Specialist
Caby Cabs Ltd
Professional development
Certificates of completion.
Completed coursework that supports practical work in data analytics and business intelligence.
Certificate of completion
Google Business Intelligence
Certificate of completion
Google Data Analytics
Get in touch
Let’s build something useful with data.
Have a data pipeline, analytics, or business intelligence challenge? Tell me what you are working on.