Evolved360 ERP
Connect Every System.
Eliminate Every Silo.
ETL Pipelines That Run Reliably — Built on Your Actual Stack.
When your CRM, ERP, accounting platform, and e-commerce tools don't talk to each other, your team reconciles data manually and makes decisions on information that's hours out of date. We design, build, and maintain data integration architecture that fixes both problems.
The Problem
Disconnected systems cost you time and accuracy.
Without proper ETL pipelines, every report is a manual exercise. Duplicate records accumulate. Errors compound. And the data warehouse you invested in sits underutilized because feeds keep breaking. We extract data from your source systems, transform it to match your target schema, and load it reliably — on a schedule or in real time. Most Ontario SMEs we work with have three to five disconnected systems that need to share information accurately.
80%
Faster reporting
Real-Time
Data sync available
Zoho & Odoo
Primary platforms
20+
Years IT leadership
What Changes
What it looks like when your data pipelines are working.
Up to 80% Faster Reporting
Automated ETL pipelines replace hours of manual data pulls with scheduled, reliable feeds that refresh dashboards without human intervention.
Single Source of Truth
Unified data across ERP, CRM, finance, and inventory means every team works from the same numbers — no more conflicting spreadsheets.
Real-Time Synchronization
Event-driven pipelines push updates between systems the moment a record changes, eliminating lag in customer data, inventory counts, and financials.
Scalable Architecture
Pipelines built to handle growth: whether you add new source systems, expand data volumes, or acquire another business, the architecture scales with you.
The Plan
Getting started is simple.
Landscape Review
We catalogue your source systems, map current data flows, identify integration gaps, and prioritize by business impact — before any build begins.
Build & Test
Custom ETL workflows with transformation logic, data quality validation, test runs against staging, and full reconciliation before production deployment.
Monitor & Maintain
Run-level logging, failure alerting, schema drift detection, and volume anomaly checks — so broken pipelines surface before they affect decisions.
Ready to connect your systems? We'll map your data flows, identify integration gaps, and propose a pipeline architecture that fits your stack.
Book Data Integration ConsultWhat's Included
Everything under one roof.
Every layer of your business software — implemented, integrated, and supported by one team who owns the outcome.
Client Outcomes
What your business looks like when this is handled.
Client result
“We were manually pulling data from three systems every Monday morning to build one report. ETG built an automated pipeline in three weeks. The report now runs itself every night and is ready when we arrive. We haven't touched a spreadsheet for that process since.”
Operations Director · Distribution Company · ETG client since 2023
The Case for Data Integration
ETL, ELT, and real-time sync — what actually matters for your stack.
ETL stands for Extract, Transform, Load — the three steps that move data from where it lives to where it's needed. Extract pulls raw records from source systems. Transform applies business logic: renaming fields, converting data types, joining records, filtering invalid rows. Load writes the result to a destination: a data warehouse, a reporting database, or another operational system.
Modern variants extend this. ELT pushes raw data into a cloud warehouse first and applies transformations there — useful when compute is cheap but pipeline complexity is high. Streaming pipelines replace batch schedules with continuous, event-driven processing for real-time dashboards. Change Data Capture replicates only changed rows, keeping downstream systems current without full reloads.
“A pipeline that breaks silently is worse than no pipeline — decisions get made on stale data without anyone realizing it. Every integration we build includes monitoring so broken runs surface immediately.”
Evolved Technology Group
We work tool-agnostically — Apache Airflow, dbt, and native connectors for batch ETL; Kafka for streaming; Zoho Flow, Make, and custom Python or Node services for simpler API integrations. The right choice depends on your data volume, latency requirements, and budget. We recommend based on fit after a discovery session, not on which tool we prefer.
Common Questions
Frequently asked questions.
Connect your data. Unlock your business.
Let's map your integration landscape and build pipelines that keep your systems in sync and your reporting reliable — without the weekly manual reconciliation.