Data Engineer | AWS & Data Platforms | I design, therefore I exist | Co-leader AWS Girls Argentina
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
aws-data-lake-workshop
April 9, 2026 – Present
Workshop nivel 200 en la consola de AWS: construí un Data Lake serverless con Amazon S3, AWS Glue y Amazon Athena. Paso a paso en español, dataset de ventas incluido.
View Projectiot-data-architecture-aws
January 19, 2026 – Present
Cost-effective AWS architecture for ingesting, storing, and querying 5 years of IoT sensor data using a serverless data lake approach.
View Projectserverless-aws-data-lake-with-kiro
December 18, 2025 – December 19, 2025
Cost-optimized serverless AWS data lake using S3, Glue, Athena, CloudFormation, and Kiro. Raw/curated architecture, Parquet, automated crawlers, and zero-idle compute.
View Projectdashboard_de_costos_aws
September 22, 2025 – September 22, 2025
dashboard_de_costos_aws — Dev.to repository
View Projectserverless-etl
September 5, 2025 – September 5, 2025
Terraform-ready, plug-and-play serverless ETL repo
View ProjectBumperSats
June 11, 2025 – June 16, 2025
AI-powered satellite collision prevention and debris management using Azure cloud services.
View Projectsales-analytics-dashboard
June 5, 2025 – June 9, 2025
Sales analytics dashboard using python libraries
View Projectcustomer-churn-prediction
May 27, 2025 – September 17, 2025
customer churn prediction using AWS SageMaker
View Projectcustomer-segmentation-kmeans
April 17, 2025 – April 18, 2025
Using kmeans ML algorithm to segmentate customers in order to obtain useful insights
View Projectretail_transaction_analysis
February 14, 2025 – May 15, 2025
Ever wondered why some products are frequently bought together? Using the Apriori algorithm, I analyzed real-world retail transactions to uncover hidden shopping patterns and enhance product recommendations.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in data science, AWS cloud, and machine learning. This aligns well with a Data Scientist role that values self-driven learning and practical application. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment. The diversity of projects (data lakes, ETL, ML, IoT) indicates a broad interest within the data domain.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.