Freelancer profile translated to English.

Description

👋 Hello!

With 8 years of experience in data analytics and data engineering, I help data teams build reliable, performant, and cost-effective pipelines, because good data shouldn't be expensive to produce.

💡 My positioning? Hybrid Analytics Engineer, at the crossroads of engineering and business analysis. I design solid data models while keeping a constant eye on cloud infrastructure costs, as every optimized query is direct value for your organization.

🚀 Key Skills

Analytics Engineering: dbt modeling (models, tests, documentation), advanced SQL transformation, medallion architecture, data contracts, lineage.

Optimization & cloud costs: Databricks / BigQuery / Snowflake cost reduction, partitioning, clustering, incremental models, avoiding full scans, data spending monitoring.

Modern data stack: SQL · dbt · Databricks · Spark · Amplitude · Tableau · AWS · Airflow • GCP

Data Quality: Implementation of automated tests, alerting, data governance and documentation.

📈 What I bring concretely: maintainable models, reliable dashboards, and data infrastructure that doesn't go over budget at the end of the month.

Industry field of expertise

Languages

English
Fluent
Spanish
Fluent
French
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Decathlon Digital
Analytics Engineer
SPORTS
October 2023 - Today (2 years and 10 months)
Implementation of a reliable and scalable data infrastructure for leveraging data from multiple sports applications (Coach, Pacer, Outdoor).

• Business Scoping: Facilitating workshops with data analysts and BI engineers to define KPIs, structure dashboard needs, and prioritize analytical use cases.
• Modeling & Pipelines: Design of aggregated datasets on Databricks (MAU, YAU, engagement metrics), transformation, and industrialization via dbt, applying best practices for modeling, governance, and documentation.
• Data Quality: Deployment of a dbt testing strategy (generic, singularity, custom tests) to ensure the reliability of critical datasets and guarantee data availability in production.
• Orchestration: Automation of pipelines using Airflow, scheduling, job monitoring, and dependency management to ensure robustness and scalability.
• Ad-hoc Development: Python processing on Databricks to meet exploratory needs, particularly extracting metrics from App Store Connect and Google Play Console APIs.
SQL Databricks DBT Airflow AWS
OVHCloud
Data Ops Engineer
TECH
November 2021 - October 2023 (1 year and 11 months)
Paris, France
Leveraging marketing data and optimizing data processes within a European leader in cloud computing.

• Marketing Analytics: Extraction and processing of campaign performance via Facebook Ads and Google Ads APIs (Python, Dataiku, Spark) — interactive dashboards delivered to project managers for autonomous KPI monitoring.
• Automation & Integration: Development of Python scripts to orchestrate data flows between Tableau, Dataiku, and Dremio — significant reduction in manual tasks and near real-time updates.
• Observability: Application monitoring via Elasticsearch & Kibana to ensure the reliability and performance of production pipelines.
• Data Governance: Definition of a multi-profile data access strategy (Dataiku, Dremio, LDAP — FreeIPA & Ranger), ensuring security, traceability, and compliance.
Dataiku SQL Python Spark Airflow
DeepReach
Data Engineer
TECH
December 2019 - November 2021 (1 year and 11 months)
Paris, France
Development of data and web solutions for an ad-tech company specializing in digital campaign management.

• Reporting & DataViz: Development of a Flask API connected to Google Data Studio + Apps Script connector (JavaScript) on BigQuery — automated delivery of campaign performance to business teams.
• Advertising Pipelines: Collection and centralization of multi-source metrics (Facebook, Google, Snapchat, Waze) via Python — calculation of key KPIs and structured storage to feed continuous reporting.
• Internal Tool: Development of a Django application (front + back) for sales teams — tracking acquisitions and managing customer requests autonomously.
Python SQL Looker Studio DBT Google Cloud