Looking for that near-impossible allrounder for your data project?

Five Legged Data Sheep

Data & AI

Five Legged
Data Sheep

Experts in all facets of data projects, from source to dashboard, including modeling and analytics.

01

Residual Mix World Map

Interactive world map visualising the certified and residual energy mix for countries worldwide, including carbon intensity. Built for residualmix.org — users can explore tracked renewables, fossil generation, and CO₂ emission factors by country and year.

Tech stack

MapLibre GL
ECharts
JavaScript
Python
MapLibre GL ECharts JavaScript Python GeoJSON

Data story

Input

AIB energy certificate data (CSV) covering European and global markets by country, year, and technology

Output

Choropleth world map with three switchable KPIs: tracked generation, tracked renewables, and residual mix carbon intensity

Result

Live at residualmix.org — interactive map serving energy transparency data across 50+ countries

02

Open Source Data Stack

Building a data warehouse backend for a web app that serves audio and video from the rich archive of the Netherlands Institute for Sound and Vision.

Tech stack

Apache Airflow
dbt
PostgreSQL
Elasticsearch
Docker
Python
Apache Airflow dbt PostgreSQL Elasticsearch Docker Python SQL

Data story

Input

Audio/video archive metadata from multiple source systems at the Netherlands Institute for Sound and Vision

Output

Normalised, indexed documents in Elasticsearch powering archive search and discovery

Result

Live webapp served by data backend at https://www.beeldengeluid.nl/schatkamer

03

Azure Data Warehousing

Designed and built a data warehouse at Syntrus Achmea Hypotheken, ingesting 10+ operational data streams into a unified model serving mortgage finance reporting.

Tech stack

Azure Data Factory
Azure SQL Database
Azure Data Lake
Azure DevOps
Azure Data Factory Azure SQL Database Azure Data Lake Azure DevOps SQL CI/CD

Data story

Input

10+ operational data streams from mortgage finance systems (loans, valuations, payments)

Output

Unified DWH model serving 50+ mortgage finance reports

Result

50+ reports unified under a single governed data model

04

AI & Machine Learning Models

Led a data science team at Van Lanschot Kempen delivering churn and default prediction, M&A prediction, NLP-powered lead generation, and graph network visualisations.

Tech stack

Python
Azure Databricks
Azure SQL Server
MLflow
Python Azure Databricks Azure SQL Server SQL NLP MLflow Graph networks

Data story

Input

Client transaction history, financial data, unstructured text, internal + external data sources

Output

Churn scores, default risk predictions, NLP lead rankings, graph network visualisations

Result

Improved customer satisfaction. Better lead conversion.

About

Steven van Ombergen

Steven is a Data & Analytics expert with a deep understanding of Data Engineering, based in the Netherlands. He designs and builds data warehouses, machine learning systems, and open-source data stacks for financial services and media organisations. Currently building the data platform for the Netherlands Institute for Sound and Vision.

Skills

Azure Data Factory Azure SQL Database Azure Data Lake Azure DevOps Python Azure Databricks NLP MLflow Apache Airflow PostgreSQL dbt Docker Elasticsearch SQL
Available for projects

Get in touch

Have a project in mind? Let's talk.