Nicolo Giammaria is a data engineer and analyst with more tyan 3 years of experience in data analysis, engineering, MLOps, and cloud platforms (Azure and GCP). He has worked on data pipelines and ETL automation, mainly for sales forecasting, churn and marketing mix modeling. His skills include Python, PySpark, SQL, Databricks, and cloud technologies, reinforced with a Microsoft Azure Data Engineer Associate and Google Cloud certified Professional Data Engineer certifications.
💼 Professional experience
Agilytic
Data Engineer/Analyst
Since 2023
- Retail
- Developed and deployed data pipelines in GCP cloud environment for retail business with a Datalake architecture. Pipeline developed from scratch in pyspark for optimal processing, including mechanisms of CI/CD.
- Built a sales/portfolio forecasting model to help budgeting the marketing efforts
- B2B Asset Development
- Energy
- Web Scraping Scraped multiple websites for competitors segmentation and research purposes
- Churn modelling in the context of a service price increase
Industrialized multiple machine learning models within an Azure environment using Azure Functions. Focused on robust data engineering practices to support model deployment, including data preprocessing, feature engineering, and pipeline automation. Implemented scalable and maintainable data workflows, ensuring efficient model updates and performance tracking.
Developed a a Marketing Mix Model and a containerized application using Docker to run it. Integrated R and Python for model development, enabling robust statistical analysis and data processing. Automated data ingestion and preprocessing workflows, ensuring efficient data handling and analysis.
DecHit S.p.A.
Data Engineer 2022 - 2023
- Consultant for the biggest bank in Italy within the risk management team
- ETL pipelines developer focused on improving automation of data flows from source to client. Technologies: Perl, Linux, MySQL.
🦾 Certifications, trainings
Methodologies
- Data engineering & MLOps in GCP and Azure
- ETL/ELT
- Data analysis
- Machine learning and modelling (data analysis, features engineering, testing, validation & deployment)
- Numerical methods
Software & programming
- Python & PySpark
- MLfow
- Git & GitHub
- Databricks
- Cloud: Google Cloud & MS Azure
- Kubernetes
- PowerBI / Tableau (basic)
- dbt (Certification ongoing)
- C++
- Perl
- SQL
- Linux
Certifications
- Microsoft Certified: Azure Data Engineer Associate (DP-203) - 2023
- Google Cloud certified Professional Data Engineer - 2024
- Google Cloud certified Professional Machine Learning Engineer - 2024
🎓 Academic credentials
- Master in Data Science Neural Academy 2022
- Acquired hard skills such as data engineering, data science and machine learning
- Master in Data Science - Specialized Rome Business School 2022
- Managerial Core: Basics of Marketing and Project Management
- Data science tools (python, jupyter notebook, MongoDB, MySQL and many others)
- Degree in Physics Università degli Studi di Padova 2017 - 2022
- Thesis on quantum and classica computing: Applications to many electrons problem
- Completed multiple classes of coding applied to physics
🇺🇳 Languages
🇮🇹 Italian: Native
🇬🇧 English: Proficient
🇫🇷 French: Basic
🔐 Proprietary and confidential.
💡 Profile CVs are provided for illustration purposes.
✅ Planning of specific experts will be secured upon formal agreement.