Open to opportunities

Santiago Andrés Álvarez Salazar

@santiagoandrslvarezs

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AI/ML and data engineer focused on scalable, cost‑optimized cloud solutions and production ML deployments.

Colombia

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What I'm looking for

I seek roles building production ML and data platforms on cloud (AWS), emphasizing scalable, cost‑efficient serverless architectures, MLOps, and opportunities to mentor and document best practices.

I am an AI/ML consultant and data engineer with hands‑on experience designing production serverless platforms, RAG chatbots, and scalable ETL/MLOps workflows on AWS.

At Amazon I contributed reference architectures for intelligent document processing, built a Bedrock‑based RAG chatbot, and helped deploy delivery‑optimization models using SageMaker and containerized workloads to improve operational cost metrics.

Previously I centralized large operational datasets into Snowflake, built serverless data pipelines with Lambda, S3 and Airflow, and implemented transformations and observability with DBT and Databand, improving reporting performance and reducing storage and pipeline costs.

I hold multiple AWS machine learning and cloud certifications and blend strong software and data engineering skills with a practical focus on FinOps, automation, and knowledge transfer via documentation and training.

Experience

Work history, roles, and key accomplishments

AI/ML Consultant

Amazon

Jul 2025 - Jan 2026 (6 months)

Selected for AWS A2C Professional Services program; built a production-ready serverless platform and designed an intelligent document-processing RAG pipeline used as an A2C reference architecture, improving secure semantic search and cost optimization. Developed RAG chatbot on Amazon Bedrock and supported deployment of delivery optimization MLOps workflows that targeted a 5% reduction in sales cos

Python AWS Sagemaker Docker Serverless Architecture CI CD MLOps FinOps

Data Software Engineer

EPAM Systems

Jan 2025 - Jul 2025 (6 months)

Performed data validation and business-rule verification using SQL and Python to ensure data accuracy across internal Meta datasets and documented results to support operational workflows and stakeholder coordination. Maintained data quality standards in internal platforms to improve reliability of downstream processes.

SQL Python Pandas Data Validation Data Quality Documentation ETL

Data Engineer

Globant

Jan 2024 - Jan 2025 (1 year)

Centralized 50GB+ of operations data into Snowflake and built 10 end-to-end pipelines supporting five teams, reducing storage costs by 20% and pipeline errors by 25%. Implemented DBT transformations and observability with Databand, improving reporting performance by 40% and onboarding 10+ team members via documentation and training.

Snowflake DBT AWS Lambda S3 Apache Airflow Databand Python ETL Data Pipelines

Education

Degrees, certifications, and relevant coursework

Universidad Pontificia Bolivariana

Bachelor of Science, Electronics Engineering

Grade: 4.4 / 5.0

Activities and societies: Featured subjects: Neural Networks, Microprocessors, Embedded Systems, Digital Electronics, Programming Languages; awarded Municipal Government’s Scholarship for top 5%.

Bachelor of Science in Electronics Engineering with coursework in neural networks, microprocessors, embedded systems, digital electronics, and programming languages; achieved a 4.4/5.0 academic average and received a municipal scholarship for top performance.