Who This Is For
Companies with data scattered across multiple toolsTeams tired of manual spreadsheet exportsBusinesses preparing their data for AI or analytics
The Problem
Data lives everywhere except where you need it.
Customer, product, and operational data sit siloed across separate tools and databases. Reports disagree, refreshes are manual, and every new question means another spreadsheet export.
The DAESAIX Approach
Pipelines and a warehouse built for the long run.
We build ETL/ELT pipelines that ingest from your existing systems, transform and validate the data, and load it into a cloud data warehouse with clear ownership, documented schemas, and monitoring from day one.
What We Build
Engineered for production from the first line of code—not a proof of concept.
ETL/ELT pipelines from your CRMs, databases, and third-party APIs
Cloud data warehouse design and implementation
Data modeling and transformation layers
Data quality checks, testing, and pipeline monitoring
Change-data-capture from legacy or on-prem databases
Documentation and lineage so every metric traces back to its source
Related Capabilities
Data PlatformData WarehouseETLELTData Engineering
Technology We Use
SnowflakeBigQueryRedshiftdbtAirflowPython