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Santiago Tomás KramerSK
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Santiago Tomás Kramer

@santiagotomskramer

Data Engineer on AWS projects, implementing an S3 data lake, automated ETL pipelines, and a Redshift data warehouse.

Argentina
Message

At Revelo, I evaluated and validated generative code model outputs, wrote reference solutions, and designed unit tests. I also analyzed failures and documented technical feedback.

On my “Plataforma Steam” project, I processed JSON files through ETL and exploratory data analysis, applied sentiment analysis with NLP, and developed an API deployed on Render. I also created an item-to-item recommendation system.

At DSTGroup, I implemented an AWS data lake with Amazon S3 and automated ETL using AWS Glue and PySpark for incremental loading into a data warehouse. I designed the warehouse in Amazon Redshift and used a VPC to connect it with Power BI and train a machine learning model.

Experience

Work history, roles, and key accomplishments

RE

Software Engineer (AI Code Training)

Revelo

Sep 2025 - Jul 2026 (10 months)

Evaluated and validated outputs of generative code models, ensuring correctness, readability, and edge case handling. Wrote reference solutions and designed unit tests to validate expected behaviors.

Education

Degrees, certifications, and relevant coursework

UN

Universidad Tecnológica Nacional

Ingeniería en Sistemas de Información, Information Systems Engineering

2024 -

Currently pursuing a degree in Information Systems Engineering since March 2024.

HB

Henry Bootcamp

Data Science, Data Science

2023 - 2024

Completed a Data Science bootcamp with 700 hours of theoretical and practical coursework from September 2023 to May 2024.

EI

E.E.T. N° 24 “Simón de Iriondo”

Tecnicatura en Informática Personal y Profesional, Informatics

2018 - 2023

Completed a technical degree in Personal and Professional Informatics from March 2018 to December 2023.

BI

British Instituto de Inglés

English Course, English

2015 - 2023

Completed English language training from March 2015 to November 2023.

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