Experience
Curated professional experience across data engineering, platform architecture, and technical leadership.
How I work
- End-to-end ownership of data platforms, from ingestion to analytics consumption.
- Architectural decisions grounded in reliability, operability, and long-term maintainability.
- Hands-on leadership: I lead teams, but I also build and debug.
- Strong focus on governance, data quality, observability, and pragmatic automation.
Fintonic
Fintech · regulated environmentHead of Data / Lead Data Engineer
Owned the design and evolution of a cloud-native AWS lakehouse platform, combining architectural leadership with hands-on engineering across batch and real-time workloads.
Key Responsibilities
- •Led the design and delivery of a fully cloud-native, serverless AWS data lakehouse, replacing a legacy platform with high technical debt.
- •Architected scalable batch and real-time ingestion pipelines using AWS Glue, DMS, and Kinesis.
- •Implemented data governance, quality, and metadata management as first-class concerns using OpenMetadata and AWS Glue Data Quality.
- •Designed an event-driven orchestration layer with AWS Step Functions and EventBridge.
- •Built highly observable data workflows with end-to-end monitoring and alerting using Datadog.
- •Defined dimensional data models consumed in Amazon Redshift and visualized through Amazon QuickSight.
- •Established infrastructure as code and CI/CD practices using Terraform, Ansible, and GitLab CI/CD.
Timeline & Location
Core Focus
Capgemini
Consulting · multi-client enterprise environmentsSenior Data Engineer
Delivered scalable data engineering solutions across enterprise clients, coordinating end-to-end data processes with a strong focus on architecture, automation, and reliability.
Key Responsibilities
- •Acted as technical lead across multiple enterprise clients (Carrefour, Repsol, AXA), designing and delivering scalable data engineering solutions.
- •Coordinated end-to-end data processes including ingestion, quality, enrichment, modeling, and governance.
- •Led data engineering teams for pricing and analytics platforms in complex enterprise environments.
- •Contributed to the evolution of global data platforms with a focus on architecture, automation, and reliability.
Timeline & Location
Core Focus
StratioBD
Data platform & engineeringSenior Data Engineer
Technical lead in a pricing data domain, ensuring scalable pipelines and strong data quality for business-critical pricing workflows.
Key Responsibilities
- •Technical lead for the pricing data domain of a large retail client, ensuring data quality and scalability.
- •Designed and maintained business-critical data pipelines for price management and simulation.
Timeline & Location
Core Focus
Accenture
Consulting · pharma & financial domainsData Engineer
Built and evolved data platforms and integration frameworks, contributing to AWS migrations and reusable analytics-oriented ingestion patterns.
Key Responsibilities
- •Contributed to big data platforms in pharmaceutical and financial domains, migrating systems to AWS.
- •Designed a reusable and parametrizable data integration framework for analytics.
Timeline & Location
Core Focus
Need more detail?
A full chronological CV is available, and I’m happy to discuss earlier roles and architectural decisions in more depth.