Germán Neironi - Data Analyst & IT Manager

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Germán Neironi.

Cloud Data Engineer | Data Visualization | IT Project Manager

Cloud Data Engineer with over 15 years of experience across healthcare informatics, business intelligence, and enterprise data systems. Well-versed in building AWS data infrastructures, implementing ETL/ELT processes, and creating impactful analytical solutions.

Experienced in full-stack cloud development with AWS (CDK, Lambda, ECS Fargate, RDS, S3, Glue, Athena), FastAPI, Next.js, PostgreSQL, and AI integration. Skilled in Python, TypeScript, Docker, and designing hybrid serverless architectures for production SaaS platforms.

Currently leading cloud data projects at Argeniss Software. Founded CloudPrune AI, a production FinOps SaaS platform that automates AWS cost optimization through AI-powered infrastructure-as-code generation.

Tech Stack

Databases

Cloud Platforms

Tools

Programming and Data Analysis

Services

Data Engineering & Full-Stack Development

I develop ETL/ELT pipelines, data warehousing solutions, and full-stack SaaS applications with FastAPI, Next.js, and PostgreSQL.

Cloud Architecture

I design and implement scalable AWS solutions including hybrid serverless architectures, production SaaS platforms, and infrastructure-as-code with CDK.

Data Visualization & BI

I implement Data Storytelling to convert raw data into specific and valuable information.

Business Analysis

I can understand and document processes and traslate the business needs into technical requirements.

Digital Transformation in Healthcare

I lead projects to modernize systems and processes in healthcare organizations.

Team Management

I lead software development teams. I manage projects from start to finish.

Consulting and Staffing

I advise organizations on their processes and technologies. I contact and interview IT talents to create software development teams.

Work Experience

Project Portfolio

CloudPrune AI - FinOps SaaS Platform 🚀

Production SaaS | AWS CDK + Lambda + ECS Fargate + FastAPI + Next.js 14 + PostgreSQL + Claude API + Stripe

Production-ready FinOps SaaS platform that analyzes AWS accounts, identifies cost savings opportunities (20-40% average), and auto-generates CDK infrastructure-as-code for automated implementation.

Key Features: 8 resource analyzers (EC2, EBS, S3, RDS, Zombie Services detection), AI-powered CDK code generation using Claude API, hybrid serverless architecture (Lambda + ECS Fargate), gainshare pricing model with Stripe integration, full CI/CD pipeline.

Validation: Detected $256K/year savings in real fintech scenario (249 instances, 3 AWS accounts, 72 recommendations).

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AWS CDK Project

CDK + Lambda + s3 + DinamoDB + React + CloudFront

This project implements a web application to manage NGO locations, allowing visualization, creation, updating, and deletion of locations on an interactive map.

The architecture uses core AWS services (DynamoDB, Lambda, API Gateway, S3, and CloudFront) with infrastructure as code through CDK, while the technical implementation consists of a Python backend with Lambda/DynamoDB and a React/TypeScript frontend using Vite and Leaflet for maps.

View on GitHub

Paginated Report Project

Power BI Report Builder + VBNet + Visual Studio

This project was born from a specific need, we were not allowed to use APIs, Libraries or Fonts to create the barcode that would go in our reports. So I built the native VBnet code to generate code39 standard barcodes

View on GitHub

HL7 and FHIR Healthcare Project

Python + HL7 + FHIR

HL7 to FHIR Converter: Streamline healthcare data interoperability. Transform HL7 ORU messages to FHIR resources with this two-step Python toolkit. Simplify lab result integration and enhance data exchange in modern healthcare systems.

View on GitHub

Personal Website

HTML5 + CSS3 + JavaScript + D3.js for tech stack visualizations + vis.js for the interactive timeline.

This repository contains the source code and assets for my personal website, showcasing my professional experience, skills, and projects as a Data Analyst and IT professional.

View on GitHub

Data Analysis Project

This project analyzes a dataset on alternative energies in Argentina, using Python for data analysis and Power BI for visualization.

Tools used: Google Colab, Python, Pandas, Matplotlib, Seaborn, CSV, IO, Numpy, Scipy. DAX, Map plot, Line plot, Dot histogram with trend line, Bar plot, cards (KPIs), and filters (data segmentation).

View on GitHub

My own SQLite databases

SQL + SQLite.

I made my own databases to practices and play with SQL projects. You can also download and use them.

game_universe DB music_festival DB virtual_zoo DB

Data visualization Project

SQL + Mode.com.

This project includes a dashboard created in Tableau.

under construction

Testimonials

Education

View my LinkedIn profile View my portfolio on GitHub Certificates Short Resume Complete Resume