Data Stuck in Silos
CRMs, ERPs, spreadsheets and apps each hold part of the picture.
Data Engineering & Integration
Data Engineering Services That Turn Scattered Data Into One Reliable Source
We build the pipelines and integrations that bring data from every system into one clean, trusted place, so your analytics, reports and AI run on numbers everyone can rely on.
Challenges
Why Data Is
Hard to Use
Most companies have plenty of data. The problem is that it lives in too many places and nobody trusts it.
Reports Nobody Trusts
Different teams pull different numbers for the same question.
Fragile, Manual Pipelines
Scripts and manual exports break, and someone has to fix them by hand.
Not Ready for AI
AI projects stall because the data behind them is incomplete or messy.
Book a call
Talk to a Data Engineer
Talk to a Data Engineer
Service
Our Data Engineering Services
As a data engineering company, we design, build and run the data foundation your business depends on.
Data Pipeline Development
Automated pipelines that move data reliably from source systems to your warehouse.
Data Integration Services
Connect CRMs, ERPs, databases, APIs and SaaS tools into one data flow.
ETL Development Services
Extract, transform and load processes that clean and standardize data as it moves.
Modern Data Stack Consulting
Choose and set up the right warehouse, pipeline and transformation tools for your size.
Data Engineering Consulting Services
Assess your current data setup and get a clear plan to fix and scale it.
Data Engineering Outsourcing
A dedicated team that builds and maintains your pipelines, so your staff can focus on insights.
Process
How We Build Your Data Foundation
A three-phase approach from messy sources to reliable, automated data.
Phase 1: Map the Data Landscape
Timeline: 1-2 weeks
We map your data sources, quality issues and reporting needs, then design the target architecture.
Deliverables:
- Data source inventory
- Data quality assessment
- Target data architecture
- Tool recommendations
- Delivery roadmap
Phase 2: Build the Pipelines
Timeline: 3–7 Weeks
We build automated pipelines, integrations and data models, with tests at every step.
Deliverables:
- Automated data pipelines
- System integrations
- Clean, modeled data sets
- Data quality checks
- Documentation
Phase 3: Operate & Scale
Timeline: 8 weeks and ongoing
We monitor pipelines, fix issues before they reach reports and add new sources as you grow.
Deliverables:
- Pipeline monitoring and alerts
- Issue resolution
- New source onboarding
- Performance and cost tuning
- Monthly data health reports
Benefits
Build a Stronger Data Foundation
One Source of Truth
Every team works from the same trusted numbers.
Less Manual Work
Automated pipelines replace exports and copy-paste.
Faster Reporting
Fresh data arrives on time, every time.
Ready for AI
Clean, connected data that AI and machine learning can use.
Room to Grow
Add new systems and data sources without starting over. p.
Use Cases
Built for the Data Challenges of Your Industry
Data Engineering for Healthcare
Connected patient and operational data We integrate EHR, lab and operational data with privacy controls built in.
EHR and lab system integration- FHIR and HL7 data pipelines
- De-identified data for analytics
- Audit-ready data access
Case Studies
Proven Builds, Not Just Prototypes
Projects Of Novatore Solutions
Data EngineeringNext.js
GH Sprinter
Novatore built the data layer behind GH Sprinter, a Next.js and TypeScript logistics platform that connects delivery requests, quotes, real-time tracking, invoicing, and driver workflows across Quebec and all of Canada.
OUTCOME
A connected data layer synchronizing delivery requests, tracking, invoicing, and driver workflows in real time.
Challenge: Delivery requests, quotes, tracking, invoicing, and driver workflows ran on disconnected systems, leaving dispatchers and drivers working from inconsistent, outdated information across Quebec and Canada.
Solution: Novatore built a real-time data layer on Next.js and TypeScript, unifying delivery requests, tracking, invoicing, and driver workflows into one synchronized source of truth
Result: Dispatchers, drivers, and customers now work from the same live data, cutting manual reconciliation and reducing delays across the platform.
Data Engineering Energy & Logistics
OneH2
Novatore contributed to the data integration behind OneH2's logistics solution, connecting fleet, supply chain, and demand data on a React and Node.js platform so energy companies could manage 24/7 hydrogen fuel operations from one system.
OUTCOME
Integrated fleet and supply-chain data feeding a single operational view instead of disconnected system silos. Alt text (image): Dashboard screenshot of the OneH2 hyd
Challenge: Fleet, supply chain, and demand data lived in disconnected systems, making it difficult for energy companies to manage 24/7 hydrogen fuel operations from a single view.
Solution: Novatore contributed to a React and Node.js data integration layer, connecting fleet, supply chain, and demand data into one unified system.
Result: Energy companies now manage hydrogen fuel operations from a single operational view instead of stitching together disconnected silos.
Real EstateData Engineering
Permit Place
Novatore supported the data and document workflows behind Permit Place, built on React and Laravel, helping the firm manage due diligence, permit packet submissions, and fee calculations in one connected system instead of scattered files.
OUTCOME
Consolidated document and data workflows replacing scattered file-based due-diligence and permit processes.
Challenge: Due diligence, permit packet submissions, and fee calculations relied on scattered files, making real estate workflows slow to track and manage.
Solution: Novatore supported a React and Laravel platform connecting document and data workflows, bringing due diligence, permit submissions, and fee calculations into one system.
Result: The firm now manages due diligence, permit submissions, and fee calculations from one connected system instead of scattered files.
Tools & Technologies
Technologies We Build With
Our strategy engagements are grounded in the same tools our delivery teams use, so roadmaps reflect what's actually achievable with today's AI platforms.
FAQ
Data Engineering FAQs
What teams usually ask before investing in data engineering.
A data engineering company designs and builds the systems that collect, move, clean and store your data. This includes data pipelines, integrations between business systems, data warehouses and quality checks. The result is reliable, analysis-ready data that powers reports, dashboards and AI.
ETL (extract, transform, load) cleans and transforms data before loading it into a warehouse. ELT (extract, load, transform) loads raw data first and transforms it inside the warehouse. ELT is common with modern cloud warehouses like Snowflake and BigQuery because they can process large data volumes quickly and cheaply.
Data engineering services typically cost $25, $49 Per hour, depending on the number of data sources, data volume and complexity. Connecting a few systems to a warehouse sits at the lower end, while enterprise platforms with many sources and real-time pipelines cost more. We give a clear estimate after a free discovery call.
Yes. We connect to your current CRMs, ERPs, databases and SaaS tools through APIs and connectors.
Yes. We monitor and maintain pipelines and add new data sources as your business grows.
Yes. Data is encrypted in transit and at rest, with access limited to what each system needs.
Your Go To Business Partner
Why Novatore
An AI-Native technology partner
We combine strategy and delivery to build what actually ships, from roadmap to production.
Teams Which Deliver
Strategists, engineers, and QA specialists work as one team to turn plans into software fast.
Full-stack technical depth
React, Next.js, Node.js, Flutter, and Laravel expertise, paired with modern AI and cloud tooling, covers the full delivery lifecycle.
US, UK, and Canadian Clients
We work inside the timelines, communication norms, and compliance expectations our North American and UK clients require.
Backed by 38+ shipped platforms
38+ products delivered from concept to production across HealthTech, FinTech, retail, and SaaS, with proven experience.
We Are Just One Click Away
Build a Data Foundation You Can Trust
Tell us where your data lives today. We'll show you how to bring it together, reliably.
