Data Engineering
Robust, scalable pipelines that turn raw data into actionable insight.
- Custom ETL / ELT pipeline development
- Data lake & lakehouse implementation
- Real-time streaming
- Performance optimization & monitoring
We help B2B and mid-market companies build AI-ready data infrastructure on Databricks, Snowflake and Azure — and we ship our own apps and open-source data tools.
End-to-end data solutions, including architectures built for CMMC, NIST and HIPAA compliance.
Robust, scalable pipelines that turn raw data into actionable insight.
Find the patterns and trends that drive informed decisions.
Enterprise-grade data infrastructure that scales with your business.
Each app's terms, privacy policy and support pages are hosted on this site.
Personality-first dating. Five quick picks and a short chat with our AI, then matches ranked by how well you actually fit — with ID-verified members and AI safety monitoring.
Export your cloud workspace to production-ready Terraform in minutes. Supports Databricks, Azure, AWS and more.
Tools, libraries and companion code we share on GitHub.
AI-augmented ETL for lakehouses: medallion architecture on S3, GCS or Azure Blob with Iceberg and Delta Lake, plus LLM schema inference and NL-to-SQL.
Companion repository for the book by Carlos Pacheco: dataset generators, data quality acceptance tests and data product contracts.
Python client for the CMS Beneficiary Claims Data API: OAuth2, FHIR bulk exports, retries and async support.
Data tracking and analytics platform for real-time monitoring of business metrics, dashboards and alerts.
VS Code extension with context-aware snippets and productivity tools.
Browse everything on GitHub.
Datant LLC is led by Carlos Pacheco, a data engineer with 8+ years building data platforms for enterprise and federal clients. You work directly with the person designing and building your platform.
Book a free 15-minute strategy call or send an email — we usually reply within one business day.