Sediment Data

Sediment Data is a data engineering consultancy for mid-sized companies that have outgrown spreadsheets and disconnected systems but aren't ready to invest in enterprise platforms. We design and implement solid data infrastructure using a 100% open-source stack—DuckDB, dbt, Dagster, Apache Parquet, and Python—with no proprietary tools, no licensing surprises, and no vendor lock-in. Everything we build goes into your repository, runs on your infrastructure, and belongs to your team permanently. Our model is straightforward: fixed price, defined scope, full code ownership from day one. We work in structured sprints with concrete, verifiable deliverables at each stage—real progress without waiting months for a final handoff. Our services cover the full data stack: ETL pipeline development and orchestration, data lake and warehouse architecture using Medallion Architecture, business intelligence, RAG document intelligence systems, AI-ready data preparation, and workflow automation. Every engagement starts with a Data Audit—a fixed-price diagnostic that maps your data sources, identifies integration gaps and friction points, and delivers a prioritized technical roadmap with ROI estimates. The deliverable is yours regardless of whether we continue working together. We serve fintech, ecommerce, SaaS, healthcare, retail, and logistics companies across Latinamerica. Our clients typically run five or more disconnected systems—ERP, CRM, sales platforms, logistics tools—and need a single reliable source of truth their entire leadership team can trust. We are a focused team of three senior data engineers. No project management layers, no junior resources on client-facing work. When the engagement ends, your team has the documentation, the code, and the knowledge to run it independently.