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.
Dashboards turn it into a clear decision.
About
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.
Expertise & toolkit
Three connected disciplines, from dependable pipelines to clear decisions. The tools sit alongside the work they support.
01
Designing cloud data platforms and automated extract, transform and load (ETL) or extract, load and transform (ELT) workflows for downstream use.
Tools I use
02
Exploring complex datasets, validating assumptions, modeling relationships and translating findings into clear recommendations.
Tools I use
03
Building dashboards, reporting models and key performance indicator (KPI) frameworks that make performance visible and keep stakeholders aligned.
Tools I use
Selected work
End-to-end projects that connect data infrastructure, analysis and decision support.
An Amazon Web Services (AWS) demonstration with fictional patient records and replayed public waveform-derived vital signs. One stream feeds realtime monitoring with live National Early Warning Score 2 (NEWS2) and a governed lakehouse with daily scoring for a synthetic proxy of repeated extreme readings.
OutcomeLive monitoring with NEWS2, governed analytics, daily scoring and a simulation study
Read case studyA cloud pipeline that ingests public hospital quality data, curates it into prepared hospital datasets and supports visualization and regression analysis of a constructed infection index.
OutcomeAnalytics and regression-ready datasets
Read case studyAn academic web application that classifies maize leaf images with a TensorFlow convolutional neural network, stores predictions and looks up editable disease recommendations. The case study reports the bundled model’s measured test accuracy, its weak class and its limits.
OutcomeImage classification, prediction history and a recommendation lookup
Read case studyWriting
Notes on how I build, test and run my projects.
Any AI coding agent can read an instruction file. Getting several of them to follow the same rules on every project took versioning, tests, a handoff file and clear limits.
Read articleHow my AWS project connects live monitoring, historical analytics, early-warning scoring and a simulation study using synthetic records and public waveform-derived measurements.
Read articleWhy I organized my portfolio around data engineering, analysis and business intelligence, with case studies that connect my decisions to their evidence.
Read articleHow I connected five public hospital datasets through ingestion, preparation and regression, with an explicit account of the infection index and evaluation limits.
Read articleExperience and education
A background across client services, technical delivery and data analysis, with graduate and undergraduate study in data analytics, data engineering and computer science.
Client Services Associate (Aug 2023 – Jun 2024)
SPS North America
Seattle, Washington, USA
JamboBet
Nairobi, Kenya
Caby Cabs Ltd
Nairobi, Kenya
Western Governors University · Capstone project
Salt Lake City, Utah, USA
Strathmore University · Capstone project
Nairobi, Kenya
Professional development
Completed professional certificate programs that support practical work across data engineering, data analysis and business intelligence.
Data engineering coursework focused on building modern Snowflake pipelines, including ingestion, SQL and Python transformations, orchestration, DevOps practices and observability.
Business intelligence coursework focused on translating stakeholder needs into metrics, reporting workflows, dashboard plans and clear executive-ready insights.
Data analytics coursework focused on cleaning, analyzing, visualizing and presenting data so findings can support practical business decisions.
Get in touch
Have a data pipeline, analytics or business intelligence challenge? Tell me what you are working on.