Enterprise Data Platforms
Engineered for Scale
Artificial Intelligence is only as good as the data feeding it. We engineer secure, highly scalable Data Lakes, Lakehouses, and real-time pipelines that transform fragmented legacy data into a unified, compliant, and AI-ready asset.
Stop Drowning in Data Silos
Enterprises sit on petabytes of valuable data trapped across legacy systems, disconnected cloud apps, and localized spreadsheets.
The Problem
Fragmented, messy data makes accurate Business Intelligence (BI) impossible and starves your AI models of the context they need. Moving this data often risks violating strict protection laws.
The YBIX Solution
We build central, governed "Single Sources of Truth." We safely extract your data, standardize it, and load it into modern cloud architectures without disrupting your daily operations or violating regional sovereignty laws.
Enterprise Data Engineering
End-to-end services to build, scale, and govern your data lifecycle.
Built on Industry-Leading Infrastructure
Architected for.
Data Sovereignty.
Your data is your most valuable asset. We keep it secure, scalable, and legal with multi-region architectures.
Data Residency (GDPR, PDPL)
We utilize localized cloud zones (EU, GCC, US) to ensure user data never crosses legal borders unlawfully.
Enterprise Security Baked In
Automated PII masking and AES-256 encryption at rest to ensure you pass any regulatory audit globally.
Air-Gapped & Hybrid
For defense and government, we deploy robust data platforms entirely on-premise, strictly within your physical walls.
Hybrid Cloud Architecture
Multi-Region Replication
Methodical Architecture & Deployment
A systematic approach to building high-quality data infrastructure.
Discovery & Audit
Deep dive into your objectives, current data sources, technical debt, and cross-border compliance constraints.
Blueprinting
Design the optimal cloud data architecture (lake/warehouse), select the right vendor stack, and define robust data models.
Development
Build ETL/ELT pipelines, implement Infrastructure as Code (IaC) via Terraform, and conduct rigorous automated testing.
Zero-Downtime
Deploy to production alongside existing systems, optimize for cloud compute costs, and establish a governed semantic layer.
Flexible Data Partnerships
Engineering engagements designed for enterprise scale.
Data Platform MVP
4–6 WEEKS
Ideal for unblocking BI. We set up the foundational Lakehouse architecture and migrate 2-3 core data sources.
Enterprise Migration
2–4 MONTHS
Moving away from legacy systems. Agile sprints to safely migrate complex, high-volume on-premise data to the cloud.
Managed DataOps Squad
ONGOING
Extended SRE data team. We monitor pipeline health, resolve broken feeds, and optimize your Snowflake/Databricks costs.
Measurable Impact
SaaS Platform
Optimized a sprawling data warehouse via smart partitioning, reducing monthly cloud compute bills by 78%.
Conglomerate
Executed a zero-downtime migration of a 15-year-old Oracle database to a localized, PDPL-compliant cloud data lake.
Enterprise FAQs
We use a massive, 20-year-old SAP ERP. Can you integrate this data?
How do you handle data residency laws when we operate in multiple regions?
What is the difference between a Data Warehouse and a Data Lakehouse?
How do you ensure our data migrations don't disrupt our daily operations?
Stop Guessing.
Start Scaling.
Ready to turn your fragmented data into a unified competitive advantage? Let’s architect a scalable, compliant data platform for your enterprise.