Description

About me:

I help teams fix messy data and build dashboards they can actually trust.

From unreliable reports to clean, structured data - I make your data usable and actionable.

I can help you:

Clean and structure your data
Create clear, user-friendly dashboards
Automate manual workflows
Build reliable data models (SQL, dbt)

Results I’ve delivered:

⏱️ +40% reporting efficiency for SaaS teams

🔁 30+ hours/month saved through automation

📊 2x increase in data adoption with better dashboards

My background in scientific research allows me to explain complex data in a simple, actionable way — so your team can take value from it.

Previous clients include:

Just Eat Takeaway

Randstad

Girondins de Bordeaux Football Club

Languages

Portuguese
Native or bilingual
French
Native or bilingual
English
Native or bilingual

Workplace preferences

Can work on-site

London (up to 15km)

Just Eat Takeaway
Data Analytics Engineer
RETAIL (LARGE RETAILERS)
June 2025 - February 2026 (8 months)
London, UK
Delivered self-serve analytics solutions by developing the semantic layer in Looker:
Led a full LookML refactoring from scratch using best practices, increasing modularity, maintainability, and scalability.
Delivered end-to-end data models for user visits and item-level performance, centralising data across three tools, reducing KPI inconsistencies and improving analytical workflows.
Delivered Looker demo sessions to 60+ stakeholders, driving increased adoption across teams.
Owned Airflow DAGs and CI/CD pipelines, ensuring reliable data pipelines and daily data freshness for business reporting on datasets exceeding 1.5B rows.
BigQuery dbt Looker LookML Airflow
Pinnu Analytics
Data Analytics Engineer
January 2025 - May 2025 (4 months)
London, UK
Built modular data models ensuring data quality and enabling accurate financial reporting for business stakeholders:
Audited and cleaned MRR data, adding tests and resolving duplicates to ensure accurate and reliable calculations, enabling better targeting of offers.
Enhanced ARR reporting accuracy by re-engineering the logic for retention and cancellations, reducing error rates from 10% to 1%.
SQL dbt Snowflake Airbyte KPIs and Metric Definition and Monitoring
Randstad
Data Analytics Engineer
HUMAN RESOURCES
July 2023 - July 2024 (1 year)
Paris, France
Delivered scalable data-driven solutions, with a focus on data modeling, and transformation to support exec, marketing, sales, financial, payroll, product and operational teams:
Migrated models into dbt, improving maintainability, testability, documentation, and cost-efficiency.
Optimized the onboarding funnel, cutting acquisition costs by up to 35%.
Designed and conducted Looker training sessions, upskilling 30+ co-workers.
PostgreSQL dbt Looker Airflow Python