Hello, I'm

Matteo.

Cloud and data engineer working with Google Cloud, Terraform, Python, and modern data platforms while building thoughtful things for the web.

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01 / About

Cloud engineer, data engineer, and lifelong learner.

I design and build cloud infrastructures and data platforms, with a focus on Google Cloud, Terraform, BigQuery, Dataform, Dataplex, Python, and PySpark. My experience spans public-sector analytics, telecommunications infrastructure, energy forecasting, fintech payments, machine learning, and AI data platforms. I am also a Google Cloud Certified Professional Cloud Architect and Professional Machine Learning Engineer.

02 / Experience

The places and roles that shaped me.

June 2024 — Present

Cloud & Data Engineer · Datwave

Working across cloud engineering, data engineering, and AI platform development: - Designed analytics data architecture for an Italian regional government agency with BigQuery, Dataform, and Dataplex. - Developed cloud architecture and infrastructure-as-code with Terraform. - Developed and provisioned Google Cloud infrastructure and customer-specific Terraform modules for a Swiss telecommunications company. - Built a proof of concept for extracting data-lineage metadata from legacy COBOL and SAS codebases with Google Cloud, Python, LangChain, and Podman. - Designed a data platform to provide customer-assistance AI chatbots with contextual data from batch and real-time external systems, using Google Cloud, Python, BigQuery, and Terraform.

May 2022 — June 2024

Junior Cloud & Data Engineer · BIP

Worked on energy-management and fintech-payments data projects: - Maintained energy-retail and business data workflows with Python and PySpark on Cloudera and Azure Databricks. - Prepared and analyzed energy-commodity data with Python, Pandas, and Polars. - Maintained and developed data reports and BI products with Python notebooks and Microsoft Excel. - Maintained and developed fintech data workflows with PySpark, deploying and executing them through Tuber and Airflow on on-premise Kubernetes and Spark clusters.

October 2021 — April 2022

Junior Software Developer and Data Analyst · PLANNET S.r.l.

Designed and developed a machine-learning system to forecast industrial production time series, built data-processing pipelines for model preparation, and created and maintained Power BI reports for historical production data.

June 2021 — July 2021

Content Analyst · Majorel

Analyzed websites for compliance with Google Search Ads policies.

May 2019 — October 2019

IT Administrator Intern · Stars & Cows

Managed and maintained office infrastructure and assets, set up office systems and software integrations, and contributed to web development.

03 / Certifications

Professional credentials and continued learning.

Professional Cloud Architect

Google Cloud · January 2026

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Professional Machine Learning Engineer

Google Cloud · October 2025

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Professional Cloud Database Engineer

Google Cloud · April 2025

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Professional Data Engineer

Google Cloud · April 2024

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04 / Selected work

Selected projects and technical explorations.

DSP — Recognition of sound features

Matlab project for computing unique parameters of WAV sound files to compare different sounds. Features include attack time, zero crossings, brightness, spectrum irregularity, and odd and even spectrum components across time and frequency domains.

MatlabDigital Signal Processing

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Cloud and data platform explorations

A place to document experiments with Google Cloud, Terraform, Go, Kubernetes, data engineering, and machine learning.

Google CloudTerraformGo

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06 / Say hello