About Sammy
- Data Engineer and Data Analyst with over 10 years of experience in quantitative analysis and modeling in the fields of energy, emissions, and sustainability.
- Experienced in building and analyzing structured datasets and developing analytical models for public and private organizations.
- Currently focusing on applied data science, machine learning, and data engineering, with experience in building end-to-end Python pipelines and mentoring over 400 students in analytics and ML programs.
German
Native or bilingual
English
Native or bilingual
French
Native or bilingual
Spanish
Fluent
Italian
Fluent
Portuguese
Conversational
Arabic
Basic
Experience
- Finviz
On Malt
Data Engineering Pipeline for Product AnalyticsDIGITAL AND ITJanuary 2026 - May 2026 (4 months)Berlin, GermanyI designed and implemented a cloud-native analytics pipeline to centralize product and revenue data in Google Cloud, establishing a reliable data foundation for reporting and analytics.My main contribution was consolidating fragmented data sources into a consistent, scalable end-to-end data architecture with clearly defined data tiers (Bronze and Gold layers) and ensuring a robust single source of truth for product usage and revenue metrics.My responsibilities included building an ingestion pipeline (Google Tag Manager → Google Analytics → BigQuery) with a consistent event schema, developing a Python-based Cloud Function (Pandas) for daily extraction and transformation of customer data, and implementing SQL-based validation and quality checks in BigQuery. - Prowo GmbHData Analyst | Data EngineerPUBLIC SECTORMay 2025 - Today (1 year and 3 months)Berlin, Germany
- Developed Python-based ETL pipelines to extract, transform, and load data from the Daarwin social welfare administration platform's reporting API, enabling large-scale data collection and structured exports for downstream analysis.
- Coordinated and scheduled ETL workflows using Apache Airflow by implementing automated DAGs with configurable schedules, retry mechanisms, and callback notifications for reliable and maintainable data pipelines.
- Designed and deployed a containerized analytics stack using Docker Compose, integrating PostgreSQL for data storage and Apache Superset for visualization and dashboard creation.
- Implemented a robust API client with authentication, retry logic, timeout handling, and structured error logging, exporting processed data in JSON, CSV, and schema formats.
- Le WagonTeacher in Data Science, Data Analytics and Data EngineeringEDUCATION AND E-LEARNINGJanuary 2023 - Today (3 years and 7 months)Berlin, Germany
- Taught subjects in **Data Science**, **Data Analytics**, and **Data Engineering**.
- Instructed over 400 students across more than 30 technical topics, including **data preprocessing**, **feature engineering**, **supervised learning**, and **model evaluation**.
- Mentored students on end-to-end analytics and **machine learning projects**, ensuring the correct use of modeling pipelines and best practices.
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Education
- Bootcamp in Data ScienceLe Wagon2022Teilnahme an einem 9-wöchigen Vollzeit-Intensiv-Coding-Bootcamp zum Erlernen von Data Science mit Python: - Maschinelles Lernen und Deep Learning mit scikit-learn, TensorFlow, pandas, NumPy, Matplotlib - Datenprodukte mit Google Cloud Platform, MLflow, FastAPI, Streamlit, SQL, BigQuery - Statistik mit SciPy, seaborn und statsmodels
- MA and BA in Bioengineering, Environmental Sciences and TechnologiesUniversité Libre de Bruxelles2009Masterarbeit in analytischer Chemie: Untersuchung der oxidativen Eigenschaften eines atmosphärischen Plasmas