Data Integration & Engineering

Designing the pipelines and platforms that unify, transform, and deliver business-ready data.

Overview

Data Core Insights builds modern, scalable data integration solutions that bring together fragmented data across cloud, on-premise, and hybrid environments. Our approach focuses on building trusted pipelines that support analytics, operations, and advanced modeling—all while maintaining performance, reliability, and security. Using industry-leading platforms like Informatica, Azure Data Factory, Oracle Integration Services, Databricks, and SQL-based architectures, we ensure your data is delivered where it’s needed—accurate, on time, and ready for business use.

Why Data Core Insights?

We don’t just move data—we engineer it for impact. Our team understands how integration supports real business processes, from supply chain forecasting to daily executive reporting. Unlike generalist firms, we build with context—ensuring your pipelines align with your operational priorities, downstream systems, and compliance requirements. Whether you're scaling in the cloud, modernizing legacy ETL, or enabling real-time insights, we deliver architectures that work from day one and scale with your needs.

Outcomes You Can Expect

  • Unified, real-time access to high-quality data across the enterprise

  • Reduced latency and manual intervention in data movement

  • Scalable pipelines that adapt to future system or volume changes

  • Improved data reliability for analytics, forecasting, and automation

  • Faster time-to-insight for business users and executives

  • Cost-effective data infrastructure with clear ownership and visibility

Our Services Include

  • Build batch, streaming, and micro-batch pipelines across structured and semi-structured data sources using tools like Azure Data Factory, Databricks Auto Loader, Oracle GoldenGate, and Informatica PowerCenter.

  • Migrate and optimize legacy ETL workflows to modern ELT patterns using cloud-native capabilities within Databricks, Azure Synapse, or Informatica Intelligent Cloud Services (IICS).

  •  Implement real-time data movement and event ingestion using Kafka, Azure Event Hubs, Delta Live Tables, and Oracle Streams, enabling just-in-time decision-making.

  • Design and implement scalable, governed storage and query layers using Databricks Delta Lake, Azure SQL Data Warehouse, Snowflake, or Oracle Exadata—supporting both historical and operational reporting needs.

  • Apply business rules, cleansing logic, and enrichment routines directly within platforms like Databricks Notebooks, SQL stored procedures, or Informatica transformations, ensuring consistent and meaningful outputs.

  • Connect enterprise applications (e.g., ERP, CRM, WMS) via APIs and services using Informatica Cloud, Azure Logic Apps, Oracle Integration Cloud, or custom middleware to support real-time and near-real-time workflows.

  • Manage complex workflow dependencies and task sequencing using tools like Apache Airflow, Azure Data Factory pipelines, or Informatica Workflow Manager for end-to-end visibility and control.

  • Architect and support hybrid environments that span on-premises Oracle/SQL servers and cloud-native platforms like Azure, AWS, or Databricks, enabling flexible and cost-effective data movement strategies.