About

How I think.
What I care about.

I'm Simone — a Data & Software Engineer with a compulsion to understand how things work at depth, and a habit of building tools for problems I actually encounter.

Philosophy

Engineering as craft

I think about systems the way an architect thinks about buildings: the visible interface is important, but the load-bearing structure is everything. Good data infrastructure is invisible — it just works, reliably, at scale.

I'm drawn to the constraints that make engineering interesting: latency budgets, consistency guarantees, failure modes. These aren't obstacles — they're the design surface.

Outside of pure engineering, I think products are how ideas compound. A well-built system serves its purpose, but a well-designed product creates leverage.

What drives me

Reliability over cleverness

Systems that fail gracefully beat systems that wow in demos.

Observability by default

If you can't measure it, you can't trust it.

Build to learn

Building products outside work is how I stay sharp and curious.

Depth before breadth

Understanding one thing deeply transfers further than knowing many things loosely.

Core Expertise

Data Engineering

streaming, batch, orchestration

Backend Systems

REST, distributed systems

Cloud Infrastructure

AWS, Terraform, CI/CD

ML Infrastructure

training pipelines, feature stores

Tech Stack

Languages

Python, TypeScript, SQL

Data

Spark, Airflow, dbt, Kafka

Cloud

AWS, GCP

Infra

Docker, Kubernetes, Terraform

Journey

Senior Data Engineer

Current Role

2024–Now

Designing real-time ingestion systems and ML feature infrastructure at scale.

Data Engineer

Previous Company

2022–2024

Built batch and streaming ETL pipelines across AWS. Led the migration of a 10TB+ data warehouse.

Backend Engineer

Early Career

2020–2022

Started with backend services (Python, REST APIs), gradually moved toward data and infrastructure.

MSc Computer Science

University

2016–2020

Focused on distributed systems and databases. Thesis on stream processing performance.

See the work behind the thinking.

Projects with real metrics, real constraints, and real lessons learned.

Explore Projects