Accelerators That Reduce
Your Data Engineering
Lifecycle by 30–60%

3X Data Engineering is a specialized data and AI engineering company focused on accelerating enterprise data engineering programs. We build AI powered accelerators and provide strategic advisory services that help organizations reduce the time and cost of data engineering initiatives by 30 to 60 percent. Our solutions help data teams automate repetitive work, modernize legacy systems, and deliver scalable data platforms faster while maintaining high engineering quality.

3X Data Engineering operates using a hybrid model that combines products and services. We provide pre built data engineering accelerators designed to automate common engineering tasks. In addition to that, our team can build custom accelerators tailored to specific client environments and project requirements. We also offer Data Engineering Acceleration Advisory where we work with data leaders to identify opportunities to introduce AI and automation across their data engineering lifecycle.

Most of our accelerators are designed to be largely plug and play and typically require only minor configuration. Because every enterprise data environment is different, we usually perform light customization to align the accelerator with your technology stack, architecture, and project requirements. This ensures the solution integrates smoothly with your ecosystem and delivers the highest possible value.

We support the full data engineering lifecycle from strategy to deployment. Our accelerators and advisory services can help with migration strategy, modernization planning, architecture design, data modeling, reverse engineering legacy systems, forward engineering new platforms, code conversion, documentation generation, testing strategy, exploratory data analysis, deployment, and governance. Our focus is on identifying areas where automation and AI can significantly reduce manual engineering effort.

General purpose AI tools such as ChatGPT or coding assistants help developers write code faster but they are not designed to handle large scale enterprise data engineering workloads. Our accelerators are purpose built for data engineering challenges such as processing thousands of database objects, reverse engineering complex systems, automating repetitive engineering tasks, and performing large scale code conversions. Instead of helping an individual developer, our accelerators help automate significant portions of engineering work across entire data programs.