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alexandra sampietro

@alexandrasampietro

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Senior Data Engineer with expertise in data platform infrastructure.

France

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What I'm looking for

I am looking for a role that fosters innovation, collaboration, and growth opportunities in data engineering.

As a Senior Data Engineer with over 8 years of experience, I specialize in designing and implementing robust data platform infrastructures. My journey began with a Master’s degree in Computer Science from the prestigious Institut supérieur d’électronique de Paris, where I ranked 3rd in my class. I have honed my skills in various cloud environments, including AWS, GCP, and Azure, and have a proven track record of optimizing data pipelines and enhancing performance.

In my current role at Hermès, I lead the development of a modern data stack, utilizing tools such as Apache Airflow, Snowflake, and Terraform. My efforts have resulted in significant cost savings and improved data reusability. Previously, at Moët Hennessy, I developed scalable ELT data pipelines that supported critical business domains, driving revenue growth initiatives. I am passionate about mentoring and sharing best practices with my peers, ensuring that our team remains at the forefront of data engineering.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Hermès

Feb 2025 - Present (3 months)

Designed and implemented a robust Data Platform infrastructure, including Apache Airflow, CI/CD pipelines, Terraform module strategy, and modern data stack comparison (Snowflake, GCP, AWS) for LLM deployment. Refactored legacy pandas pipelines into optimized BigQuery SQL models, enhancing performance, scalability, and cost efficiency. Maintained cross-cloud environments (Azure, AWS, GCP) and cloud

Apache Airflow CI CD Terraform Snowflake GCP AWS BigQuery SQL Azure Apache Kafka DBT

Analytics / Data Engineer

Moët Hennessy (LVMH)

Aug 2021 - Jan 2025 (3 years 5 months)

Developed and maintained scalable batch and streaming ELT data pipelines using Databricks, DBT, Snowflake, and GCP services (Bigquery SQL, Cloud functions) for e-commerce, merchandising, and sales domains. Led data architecture and modeling for Revenue Growth initiatives, ensuring high-performance and future-proof design. Optimized ELT pipelines for the Americas region, achieving €50K annual cost

Databricks DBT Snowflake GCP BigQuery SQL Python ELT Data Architecture Data Modeling

Data Science Engineer

Airbus Defence and Space

Sep 2018 - Aug 2021 (2 years 11 months)

Led deployments and upgrades of secured on-premise Airbus Data Platform for defense solutions using SQL/NoSQL databases, real-time data, caching (Redis), Snowflake, CI/CD, Terraform, Ansible, Airflow, PySpark, and Hadoop in a high-security environment. Deployed Computer Vision and NLP models using Azure Data Factory and fine-tuning for prototype use cases. Built CCTV video detection pipelines leve

SQL NoSQL Redis Snowflake CI CD Terraform Ansible Apache Airflow Pyspark Hadoop Azure Data Factory Computer Vision NLP Python

Data Integration Engineer

Airbus Defence and Space

Sep 2016 - Aug 2018 (1 year 11 months)

Elaborated testing strategies and implemented testing automation with Python for the Airbus Data Platform.

Testing Automation Python Data Integration Data Platform

Education

Degrees, certifications, and relevant coursework

Institut supérieur d’électronique de Paris (ISEP)

Master Computer Science, Computer Science

2013 - 2016

Grade: Rank : 3/205

Completed a Master's degree program focused on Computer Science at a leading engineering school. Achieved a rank of 3rd out of 205 students in the graduating class.