Open to opportunities

Nicolás Lagrotta

@nicolslagrotta

Message

I build cloud-native data platforms, scalable pipelines, and RAG applications.

Uruguay

Message

What I'm looking for

I'm looking to build scalable cloud data platforms and AI-powered products, partnering directly with stakeholders to turn complex business needs into reliable technical solutions.

At Blend, I design cloud-native data platforms and scalable batch and near-real-time pipelines for international clients across healthcare, hospitality, and technology. I use AWS, Python, SQL, Spark, Snowflake, and modern data architectures to turn business requirements into reliable data products.

I've also built enterprise RAG solutions with Snowflake Cortex, semantic search, and conversational interfaces, while automating infrastructure through AWS CDK. Alongside industry work, I teach algorithm analysis and design at Universidad de Montevideo and developed AutoChunker to evaluate chunking and embedding strategies for RAG systems.

Experience

Work history, roles, and key accomplishments

Current

Lecturer – Analysis and Design of Algorithms

Current

Universidad de Montevideo

Aug 2026 - Present (0 months)

Teach undergraduate students core concepts in algorithm analysis and design, including algorithmic complexity, sorting algorithms, and problem-solving techniques. Explain theoretical concepts through practical examples, pseudocode, and Python implementations.

Algorithms Algorithm Design Sort Algorithms Problem Solving Python Teaching

Current

Senior Data Engineer

Current

Skills Blend

Aug 2024 - Present (2 years)

Designed and developed scalable data pipelines and cloud-native data platforms using AWS, Python, SQL, and modern data engineering best practices. Built and maintained batch and near real-time data ingestion architectures leveraging services such as Amazon S3, AWS Lambda, Amazon SQS, Amazon Kinesis, AWS Glue, and Amazon Redshift.

AWS Python SQL S3 AWS Lambda Amazon SQS Amazon Kinesis AWS Glue Amazon Redshift RAG Semantic Search Conversational Interfaces AWS CDK Infrastructure as Code

Education

Degrees, certifications, and relevant coursework

Universidad de Montevideo

Bachelor of Engineering, Computer Engineering

2021 - 2026

Activities and societies: Participated in multiple software development and technology projects, gaining experience in system design, distributed computing, data engineering, and modern AI applications.

Completed a degree in Computer Engineering with a focus on software engineering, data systems, cloud computing, databases, and artificial intelligence. Developed AutoChunker, a platform for evaluating chunking strategies and embedding models for RAG systems.