Unlock Your Data Potential With Our Data Engineering Services
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 CheckHow 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
E-commerce Personalization Engine for Unified Content
A personalization system that collects and analyzes customer behavior across multiple channels for a leading e-commerce player. By unifying content, it delivers tailored product recommendations, personalized marketing, and dynamic content, boosting engagement and sales.
Automated Ordering and Supply Process
In collaboration with Meraxis, we developed an Automated Ordering and Supply Process with a Customer Portal and Supplier Portal. This solution simplifies ordering, enhances communication, and provides real-time updates on inventory and orders. It helps Meraxis save time, reduce errors, and strengthen supply chain connections.
Customized software development
Intertec helped Izicap modernize its data infrastructure and enhance marketing tools, enabling small and medium-sized merchants to build stronger customer loyalty. By migrating to AWS, optimizing data processing, and introducing advanced segmentation tools, Izicap improved efficiency, reduced costs, and boosted customer engagement.
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
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.