Charles Sambo

Charles Sambo

Azure Data, DevOps & MLOps Engineer

Netherlands / Poland / Germany · Lead Data | DevOps Engineer at SEFE


I build data and DevOps platforms on Azure: lakehouses, pipelines, CI/CD and MLOps for banks, insurers and energy companies. Before that I worked in quantitative finance, on credit risk, IFRS 17 and Solvency II, with degrees in actuarial science and finance. Data Analytics SQL Lab turns my ten-day PostgreSQL programme into the work of an analyst at an insurer, built as the kind of production-grade software I now ship.

Experience
Lead Data | DevOps Engineer

SEFE Securing Energy for Europe GmbH

Oct 2024 to present · Kassel, Germany, remote

Cross-functional team building a sales reporting and forecasting platform on Azure for four business units.

  • Designed and built 25 production pipelines in Azure Synapse Analytics and Data Factory on a medallion architecture, processing 12 GB a day from Salesforce, Dynamics 365, REST APIs and legacy systems across four countries.

  • Designed the reporting warehouse on Azure SQL Managed Instance serving 150+ reports, and streaming ingestion of energy meter reads with Service Bus and Functions.

  • Established MLOps on Databricks with MLflow, taking two forecasting models from notebook to production, and led YAML Azure DevOps CI/CD across five environments.

Azure Synapse
Data Factory
Databricks
MLflow
Azure SQL MI
Service Bus
Azure Functions
Azure DevOps
PySpark
Python
SQL
Data Architect / DevOps Engineer

ABN AMRO Bank N.V.

Jan 2023 to Sep 2024 · Amsterdam

DevOps team of seven delivering an integrated data platform for credit-risk stress testing and EBA regulatory reporting.

  • Owned the Azure solution architecture: a medallion lakehouse on Azure Data Lake and Databricks that delivered the bank's 2023 EBA stress-test cycle on schedule.

  • Translated credit-risk requirements from risk and finance stakeholders into designs, and built the lakehouse through Azure DevOps pipelines with around 20 curated credit-risk tables.

Azure Data Lake
Databricks
Delta Lake
PySpark
Data Factory
Azure DevOps
SQL
Azure Data Architect / Data Engineer

ABN AMRO Bank N.V.

May 2021 to Oct 2022 · Amsterdam

DevOps team building a Domain Data Store for Finance and Risk on Azure.

  • Integrated five golden sources into the Finance and Risk domain store, with ingestion and monitoring in Azure Data Factory.

  • Led the migration of an Oracle application to Azure with a data-quality framework of 200+ automated checks, and implemented technical and business data lineage for audit traceability.

Azure Data Lake
Data Factory
Databricks
PySpark
SQL Server
Oracle
Power BI
Data modelling
Data lineage
DevOps Data Analyst

a.s.r.

May 2020 to Apr 2021 · Amsterdam

IFRS 17 implementation programme.

  • Translated IFRS 17 requirements for model validation, ran functional and performance testing in the accounting hub, and delivered analytics on measurement calculations for external auditors.

  • Implemented the vendor IFRS 17 solution (Wolters Kluwer Tagetik) and managed user acceptance testing.

IFRS 17
SQL
Python
PySpark
QlikView
Tagetik
Senior Consultant, Data Science

Synechron

Jun 2018 to Apr 2020 · Randstad, Netherlands

Financial-services consultancy with engagements at Nationale-Nederlanden and other banking and insurance clients.

  • Designed a common data model for Nationale-Nederlanden's IFRS 17 programme, aggregating 15 international business units' source systems.

  • Built a probability-of-default model for a retail portfolio and a client-churn model; delivered document classification and entity extraction with deep neural networks for a KYC project on AWS SageMaker.

  • Taught the internal Python-for-data-analytics course.

Python
PySpark
R
Keras
TensorFlow
scikit-learn
NLP
AWS SageMaker
Power BI
Docker
Risk Analyst

Nationale-Nederlanden (NN Re)

Aug 2017 to Feb 2018 · The Hague

Risk department of NN Re.

  • Produced quarterly risk-capital regulatory reporting under internal and standard models, and performed Solvency II measurement calculations.

  • Validated hedge-effectiveness parameters and expense-risk models in R, and the internal cash-flow model with a Python shadow model.

Solvency II
R
Python
Excel
Earlier career, 2004 to 2014
Education

MSc Artificial Intelligence

University of Liverpool · 2026 to 2027

Postgraduate studies, Applied Generative AI

The Johns Hopkins University · 2025 to 2026

Postgraduate programme, Artificial Intelligence and Machine Learning

The University of Texas at Austin · 2019 to 2020

MSc Actuarial Science & Mathematical Finance

University of Amsterdam · 2016 to 2018

Postgraduate Certificate, Advanced Credit Risk Management

Delft University of Technology · 2017

MA Finance

Goethe Business School, Goethe University Frankfurt · 2014 to 2015

Master of Engineering Science

Curtin University · 2007 to 2009

MBA

Business School Nederland · 2006 to 2007

Certifications
DASA DevOps Fundamentals
Microsoft Certified: Azure Data Fundamentals
Microsoft Certified: Azure Fundamentals
AWS Certified Cloud Practitioner
Deep Learning Fundamentals with Keras
Deep Learning with TensorFlow
Advanced Data Modeling
C3 Fundamentals (Enterprise AI)
Business Oriented Data Modeling
Computational Finance with Matlab
Writing
CloudWorrior

From Repo → Prod: No Magic, Just Cloud. Weekend brain dumps from the cloud trenches on DevOps, Kubernetes, CI/CD and economical Azure architecture.

cloudworrior.com
On Medium
  • Enterprise Adoption of Agentic AI: A 12-Point Framework That Actually Scales

  • PostgreSQL Professional Learning Program (10-Day Portfolio Project)

  • Kimball vs. Inmon: A Narrative Exploration of Two Data Warehouse Philosophies

  • Prompt Engineering: Why ChatGPT Doesn't Always Give You the Answer You Expect

  • Bayes' Theorem: The Basis of Machine Learning, A Beginner's Guide

  • Introduction to Multi-Head Attention: A Beginner's Guide (Part 1)

  • Introduction to systemd in Linux: A Beginner's Guide

All articles
This site
Data Analytics SQL Lab

ASP.NET Core 10 and Blazor, with PostgreSQL running in your browser. Ten days of SQL at Harbour Mutual, a fictional insurer, with the insurance theory behind each brief and every answer checked.

Read the ten-day programme
Also by Charles: Agent Adoption Lab

A guided journey through a 12-point framework for adopting agentic AI in the enterprise, ending with an incident worked on call with the agent you designed.

agent-adoption-lab.azurewebsites.net
Also by Charles: Derivatives Lab

An interactive guide to option pricing: Black-Scholes, trees, Monte Carlo, finite differences, implied volatility, Heston and exotics, with every method tested against textbook values.

derivatives-lab.azurewebsites.net
Also by Charles: Introduction to Probability Lab

Probability for business and analytics, from the first rules to confidence intervals: eleven chapters, explorers whose charts move as you drag a slider, and a probability engine tested against scipy.

probability-lab.azurewebsites.net
Also by Charles: Hypothesis Testing Lab

Deciding from data, from the null hypothesis to p-values, power and multiple testing: twenty chapters, test explorers and tools whose charts move as you drag a slider, two readouts end to end, and a test engine checked against scipy and statsmodels.

hypothesis-testing-lab.azurewebsites.net

Want analytics training for your team? I build hands-on labs like this, and the data platforms behind them. Work with me(opens in a new tab)

Career details are taken from Charles's LinkedIn profile, September 2026. © 2026 Musa Consulting. All rights reserved. Pseudonymous usage statistics (pages visited, language, device type) are collected on the server with Azure Application Insights, without cookies; IP addresses are not stored.
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