Legacy ETL to Modern Data Pipeline

Data Infrastructure Assessment and Strategy Planning

Our team evaluates the current state of an organization's data infrastructure, including legacy ETL systems, to identify inefficiencies, bottlenecks, and limitations.

Cloud Data Warehouse and Data Lake Implementation

We offer an entire cycle of migration from traditional on-premise data storage solutions to cloud-based data warehouses and data lakes.

Real-Time Data Processing and Analytics

Our experts will implement technologies and frameworks that support real-time data ingestion, processing, and analytics.

Data Pipeline Automation and Orchestration

We will automate the data pipeline from ingestion to insights, including the orchestration of data flows, scheduling of ETL jobs, and automation of data quality checks.

Enhanced Scalability

Modern data pipelines are designed with scalability in mind, leveraging cloud computing and distributed processing technologies.

Real-Time Data Processing

The ability to process data in real-time (or near real-time) is a significant advantage of modern data pipelines over traditional batch-oriented ETL processes.

Greater Flexibility and Agility

Modern data pipelines are more flexible in terms of data sources they can handle, the types of transformations they can perform, and how quickly they can adapt to changes in business requirements.

Cost Efficiency

By leveraging cloud services and open-source technologies, modern data pipelines can significantly reduce infrastructure and operational costs.