Senior Data Engineer building data infrastructure and ML systems that hold up in production — pipelines, lakehouses, and the occasional geospatial detour.
6+ years building production data infrastructure, now specializing in deploying ML systems at scale. I design the pipelines first — then the models that run on them.
What I bring:
- ☁️ Data Infrastructure at Scale: AWS (Glue, Athena, S3, SageMaker) and Azure (Data Factory, Synapse) pipelines processing multi-country healthcare, energy, and pharma data — from raw ingestion to production-ready layers, including PySpark jobs at daily scale
- 🚀 ML in Production: Not just notebooks — taking models (XGBoost, recommendation engines, fraud detection) from prototype to deployed, monitored systems
- 🤖 Agentic AI & LLM Tooling: Hands-on with Bedrock, Strands SDK, and Claude Code in daily engineering work — building agents that query, analyze, and act on real data
- 📊 Geospatial & Advanced Analytics: A background in physical oceanography and hydrography feeds directly into geospatial ML work (H3, PostGIS) that most data engineers can't touch
- 🎓 Teaching Data Engineering & GIS at UNTREF and GeoDojo
Python SQL AWS Glue/PySpark Athena SageMaker Bedrock Databricks Terraform Azure ADF/Synapse BigQuery PostGIS H3 XGBoost PyTorch
Made with 🗺️ & 💻 by Gastón Echenique