Is data engineering too expensive?
Smooth kick-offWe help you choose the right tools within your budget, ensuring an optimized, scalable tech stack for future growth.
New architecturePoor architecture drives chaos and rising costs. Fixing inefficient code and pipelines saves money and boosts scalability.
Faster ETLSpeeding up the ETL process reduces the time and resources spent on data transformation, resulting in lower operational costs.
ScalabilityYou will be equipped with the tools to handle dynamically growing data volumes and demand.
FlexibilityUnlike full-time hires, our approach offers quick scalability with full accountability on our end.
Team satisfactionFocusing on building data products instead of maintenance leads to better morale, no overtime, and a more motivated team.
AutonomyWe empower your team with the knowledge to maintain, scale, and optimize your data infrastructure independently.Data transformation
services and process
01
Audits
Let's kick off with an initial assessment to select the solutions and build your data transformation roadmap.
02
Consultations
Use our expert guidance on dbt and data transformation and get the advice that drives value in the area of your needs.
03
Data Modeling
For structuring data in dbt, opt for our custom data modeling services including using your raw data to build structured models in SQL.
04
Data Integration
Gather data from multiple sources into complete pipelines and integrate them with data visualization tools with our help.
05
Architecture Planning
Let us help you design the most optimal data architecture based on your resources, budget, and priorities.
06
Training
We'll train your team to independently manage data transformation and processing, ensuring they can seamlessly use the provided tools.
