Data Engineering Services for Modern Data-Driven Organizations
From data platform modernization to building real-time pipelines, we design custom data infrastructure that fuels decisions, growth, and resilience. Not sure where to begin? Get a free Data Assessment Quick Check.
Free Data Assessment Data Assessment Quick Check
How We Help You Unlock your Data Potential
We eliminate silos and simplify your architecture - turning scattered data into actionable intelligence, fast.
Foster a Data-Driven Culture
Make data part of your company’s DNA. We help you build data literacy, guide internal adoption, and drive real organizational change through smart communication and leadership alignment.
Define Your Data Strategy
From vision to roadmap, we help you identify high-impact use cases, set governance standards, and lay the foundation for modern data engineering best practices inside your organization.
Build the Right Data Skills
Bridge the gap between tools and talent. Our data engineering consulting equips your workforce with the right capabilities through skill profiling, pair programming, and targeted enablement workshops.
Scale with a Cloud Data Platform
We bring cloud data engineering to life - using proven frameworks and accelerators to help you deploy, scale, and extract value from your data infrastructure faster than ever.
All Your Data in One Place
A single, modern data engineering platform that brings everything together - faster, smarter, and built for better decisions.
Proven Use Cases
Meraxis Digital Supply Chain Transform Delivers 75% Revenue Growth
A global polymer leader struggled with inefficient order management and fragmented information across disconnected systems. We implemented a scalable Data Engineering solution with B2B portals and automated analytics, resulting in 75% of revenue being generated through digital channels and a 40% increase in business value.
LabV Achieved 90% Faster Reports with Data Transformation
LabV, specializing in software for managing testing lab data, struggled with disconnected data storage, project inefficiencies, and limited custom reporting. Intertec developed a platform to unify data from diverse devices, resulting in 90% faster report generation and a 50% reduction in data processing time.
Data Engineering Services
End-to-End Data Engineering
From extraction to integration, we streamline every step for clean, connected, and insight-ready data - ready for action with scalable data engineering services.
Data Warehousing
Data Lakes & Lakehouses
Big Data Solutions
Technology Stack
Kafka
Scala
Python
Grafana
Azure DataBricks
AWS
PostgreSQL
MySQL
Apache Spark
Want quick insights? Take the 3-minute Data Assessment.
Becoming a data-driven organization starts with knowing where you stand. This quick check assesses your data maturity, identifies gaps, and maps out your next step toward a modern data engineering strategy.
Frequently asked questions
Intertec simplifies complex data architectures, eliminating silos and ensuring data is clean, integrated, and ready for insightful analysis. We provide customized, end-to-end solutions including data warehousing, big data platforms, and cloud integration to accelerate business outcomes.
Improving data maturity typically results in significant efficiency gains, cost reduction, enhanced decision-making, and higher profitability. Organizations often experience increased customer engagement, streamlined operations, and better competitive positioning.
Integration across systems involves creating unified data pipelines that extract, transform, and load data into centralized storage solutions like data lakes or warehouses. Modern approaches include leveraging cloud-based integration tools, APIs, and real-time streaming platforms for seamless connectivity.
Data engineering involves creating robust systems to manage, transform, and prepare data at scale for analytics and AI applications. Traditional BI tools focus primarily on data visualization, reporting, and historical analysis, without necessarily managing complex data architectures or extensive integration.
Start by assessing your current data maturity and defining clear strategic objectives aligned with business goals. Next, establish strong data governance, invest in data literacy initiatives, and prioritize initial high-impact use cases to demonstrate value quickly.