Open to opportunities

Daniel Ricardo Ramírez Umaña

@danielramirez

Message

Graduate-level data engineer and machine learning engineer specialized in scalable ML pipelines and cloud deployments.

United States

Message

What I'm looking for

I seek roles building scalable ML pipelines and cloud-native deployments where I can collaborate cross-functionally, focus on reproducibility, and drive impactful data-driven decisions.

I am a graduate-level data and machine learning engineer with 4+ years of experience building and deploying ML models, designing scalable data pipelines, and delivering actionable analytics. I specialize in Python, R, SQL, TensorFlow, PyTorch, and scikit-learn, and I integrate AI/ML solutions into cloud-native architectures using AWS services.

I have engineered production-ready data workflows with Airflow, Spark and Snowflake, reduced model training time through distributed training, and created dashboards in Tableau and Power BI to communicate insights to stakeholders. I am collaborative, detail-oriented, and certified as an AWS Data Engineer - Associate, ready to contribute to teams that value reproducibility, scalability, and data-driven decision-making.

Experience

Work history, roles, and key accomplishments

Current

AI Data Engineer

Current

Accenture

Oct 2022 - Present (3 years 8 months)

Designed and deployed ML models and scalable data pipelines (Python, SQL, Airflow) integrated with AWS services to support cloud-native AI workloads and delivered Tableau dashboards to communicate model insights to stakeholders.

Python SQL Airflow scikit learn AWS S3 AWS Glue AWS Lambda Redshift)Tableau Redshift

Data Analyst - Machine Learning

IBM

Nov 2021 - Oct 2022 (11 months)

Developed and deployed TensorFlow and PyTorch models and optimized distributed training on Spark with Snowflake, reducing training time by 60% and delivering Power BI dashboards to surface ML-driven insights.