Sediment Data is a consultancy that specializes in data engineering for mid-sized companies that have outgrown their use of spreadsheets and disconnected systems but are not yet ready to invest in enterprise solutions. We create and implement robust data infrastructures using a purely open-source stack—including DuckDB, dbt, Dagster, Apache Parquet, and Python—without any proprietary tools, licensing issues, or vendor lock-in. Everything we develop is placed in your repository, operates on your infrastructure, and remains permanently owned by your team. Our approach is simple: a fixed price, a clearly defined scope, and full code ownership from the outset. We operate in structured sprints, providing tangible, verifiable deliverables at each phase—ensuring real progress without long waits for final handover. Our services encompass the entire data stack, including ETL pipeline development and orchestration, data lake and warehouse architecture utilizing Medallion Architecture, business intelligence with Metabase, RAG document intelligence systems, AI-ready data preparation, and workflow automation. Every project begins with a Data Audit—a fixed-price assessment that outlines your data sources, pinpoints integration gaps and issues, and provides a prioritized technical roadmap with ROI projections. This deliverable is yours regardless of whether we continue to work together. We cater to fintech, ecommerce, SaaS, healthcare, retail, and logistics companies throughout Latin America. Our clients often operate five or more disconnected systems—such as ERP, CRM, sales platforms, and logistics tools—and seek a consistent and trustworthy source of truth for their leadership teams. Our team consists solely of senior data engineers, eliminating project management layers and junior employees in client-facing roles. Once the engagement concludes, your team will have the documentation, code, and expertise to operate independently.