Data Engineering & Cloud Infrastructure
Scalable Data Engineering & Cloud Infrastructure
Stop running your business on fragmented spreadsheets and isolated apps. We architect robust cloud data pipelines that unify your legacy systems, automate reporting, and build a reliable foundation for AI and BI.
99.9%
Pipeline Reliability
Zero
Data Loss & Downtime
10x
Faster Query Performance
100%
Automated Data Flows
Solving Infrastructure Bottlenecks
Legacy Challenges
- Data is scattered across 15 different SaaS apps and legacy servers, making holistic analysis impossible.
- Waiting days for the IT team to manually compile and reconcile monthly reports.
- Inconsistent data formats and human entry errors break your operations and trust in metrics.
Modern Data Infrastructure
- A centralized Single Source of Truth in a unified Cloud Data Warehouse.
- Automated pipelines deliver clean, real-time data directly to your BI tools instantly.
- Strict data governance, automated testing, and validation frameworks guarantee 100% accuracy.
The Data Unification Pipeline
1. Extraction & Decoupling
We agree data scope, connection permissions and extraction limits for your ERPs, CRMs and APIs.
2. Cloud Transformation
We build pipelines to clean, normalize and model your data in the agreed cloud environment.
3. The Single Source of Truth
We deliver a centralized, high-performance Data Warehouse ready to power real-time dashboards and AI models.
What We Build
Enterprise-grade data infrastructure engineered for scale, reliability, and AI-readiness.
Cloud Data Infrastructure
Centralize fragmented data in a cloud warehouse with agreed access controls.
- Snowflake & Databricks Architecture
- AWS/GCP/Azure Setup
- Cost-Optimized Compute
High-Throughput Data Pipelines
Eliminate manual data entry. We build automated pipes that move data from source to destination reliably, 24/7.
- Real-time & Batch Processing
- Automated Error Recovery
- Third-Party API Integrations
Data Quality & Governance
Garbage in, garbage out. We implement strict testing frameworks so you can trust every metric on your dashboard.
- Automated Data Quality Testing
- Role-Based Access Control (RBAC)
- Schemas for agreed reporting requirements
The Delivery Framework
Architecture Blueprint
We audit your existing tech stack, identify data silos, and design a scalable cloud schema optimized for your budget.
Pipeline Construction
We engineer and deploy the ETL pipelines and warehouse architecture, testing for absolute data integrity.
Safe Cutover & Handover
We perform a zero-downtime migration, handing over complete documentation and infrastructure keys to your team.
Who it is for
For companies whose reports are still compiled by hand from an ERP, a CRM and spreadsheets.
A good fit
- Your data is split across an ERP, a CRM, SaaS apps and spreadsheets.
- Monthly reports take days of manual compiling and reconciling.
- Different reports give different answers, and nobody trusts the metrics.
- You want the data platform in your own cloud account, with the code and keys handed over.
Not a fit if
- You are moving an existing warehouse or legacy platform to Fabric, Snowflake or Databricks. Data Platform Migration covers that.
- Your data is already clean and you only need dashboards on it. BI and Operational Analytics covers that.
- You need data engineers working inside your own team on your roadmap. Staff Augmentation covers that.
Our Data Technology Stack
Migration checks and recovery plans. Your cloud accounts.
Your data, your cloud accounts, your competitive advantage.
Proof
Results from recent data platform work
See all case studiesFrequently Asked Questions
Get in touch
Start with one problem worth solving
Tell us the outcome you need and the systems involved. We reply within one business day and tell you whether there is a useful first step, or why there is not. No pitch either way.
Email us directly
sales@3alica.com