Abdelhamid Dahak | Big-Data & Cloud Architect

Hello, I’m Abdelhamid Dahak

Senior Software & Data Engineer (Associate Director) specialising in cloud-native big-data and AI platforms, DevOps/MLOps and large-scale automation. Passionate about delivering resilient, secure data solutions that process billions of transactions and cut cloud spend by double digits.

7+ Years Experience
10 PB+ Data Managed
8 Bn+ Tx / Day
20 % Cloud-Cost Cut

Contact Me PDF CV

Experience

Senior Software & Data Engineer – UBS Switzerland

Sep 2024 – Present

Within UBS’ Group Compliance, Regulatory and Governance, my role is to build data-driven solutions for non-financial risk management.
Architect CI/CD pipelines for fraud-detection models (Azure DevOps).
Build Databricks workflows tracking KPIs for AI-driven risk models.
Develop FinOps tooling, cutting Azure spend by ≈ 20 %.

Big-Data Cloud Architect – Amadeus IT Group

Sep 2023 – Sep 2024

Oversaw 3 teams delivering big data platforms in Azure and AWS, including a data platform in Azure processing over 8 billion transactions per day, orchestrating 120+ Spark jobs with 10,000 daily executions, and managing 10 petabytes of data.
Founded HexaMLOps to industrialise Kubeflow/AzureML pipelines.
Implemented Kafka–Databricks observability, boosting reliability.

Acting Team Manager – Amadeus IT Group

Apr 2023 – Sep 2023

Managed a 10-engineer team during a leadership transition.
Co-ordinated multi-team cloud-migration & MLOps initiatives.

Technical Product Owner – Amadeus IT Group

Jan 2021 – Apr 2023

Led the migration of 120+ legacy apps to Azure with zero-downtime cut-over covering over 8 billion transactions per day.
Designed & delivered secure data transfer workflows to the cloud, ensuring continuity and compliance.
Standardised data pipelines, simplifying governance for Data Stewards.
Collaborated cross-functionally to deliver all migration phases on time and within scope.

Senior Big-Data Engineer – Amadeus IT Group

Oct 2018 – Apr 2023

Built real-time Kafka–Spark pipelines (1 Bn+ events/day) and custom connectors.
Migrated Spark workloads to Databricks, doubling performance.
Developed custom Kafka Connectors (Kafka2Blob, Kafka2ELK, etc.).
Delivered Spark-based KPIs & monitoring apps, improving platform observability.

Education

Master in Computer Science
ENSEEIHT, Toulouse
2015 – 2018
Major : High-Performance Computing & Big Data.
Maths & Physics (MP*)
Fez, Morocco
2012 – 2014

Technical Toolbox

Python | Scala | Java
Kafka & Kafka Streams & Kafka Connect
Databricks & Spark
Kubeflow | AzureML
Azure | AWS
CI/CD & DevOps & Mlops
Data pipelines
Pandas | Pyspark
Docker
Agile (SAFe PO/SM)

Get in Touch

Email : abdelhamid.dahak@gmail.com
Phone : +41 77 287 08 93
LinkedIn : /in/adahak/