Data Engineering Services

We stand prepared to provide data engineering consulting services to companies embarking on their initial steps with data or seeking guidance as they progress through their ongoing data initiatives.

We assist companies in implementing a scalable, secure, and highly accessible architecture integral to the data engineering process. This architecture ensures a unified view of data, enhancing overall efficiency and accessibility.

We employ an efficient approach to migrate business data between on-premises legacy systems and modern databases, including cloud storage. Our team optimizes and transforms your current data environment, building smart platforms for real-time exploration and analysis across disparate systems. We specialize in migrating, modernizing, and managing databases and dataflows on scalable cloud-based systems.

We specialize in constructing robust, independent data workflow pipelines for seamless data movement, transformation, and storage. Using diverse data management tools, we excel in batch and real-time data processing. Our expertise includes ETL and data warehouse services, crafting pipelines from scratch or leveraging major cloud platforms like Azure or AWS. Our cloud experts design, develop, optimize, and test modern data architectures tailored to meet your analytics requirements without compromising data quality.

We excel in enhancing data access and processing efficiency by integrating continuous integration (CI) and continuous development (CD) into cloud-based data lakes and warehouses. Our team automates app design, testing, and deployment to deliver high-performance software promptly. Leveraging infrastructure-as-code artifacts and a robust CI/CD orchestration framework, we specialize in building efficient production pipelines for data ingestion, staging, and transformation.

Our expertise lies in extracting and refining structured and unstructured data from diverse sources, encompassing both streaming and batch processes. We adeptly consolidate data from your applications, systems, and databases, storing it efficiently in cloud data warehouses for seamless access. Count on us to unlock the complete potential of integrating substantial data from your cloud-based applications, mainframes, databases, and file systems, expediting the discovery of new insights.

Collaborating with our team of data modeling specialists ensures the development of a strong data architecture roadmap based on industry standards, best practices, and proven techniques. We offer comprehensive end-to-end ETL capabilities, seamlessly integrating data from diverse systems into a cohesive database, data store, data warehouse, or data lake. Prioritizing data integrity, our ETL services support accurate reporting and decision-making, even amid multiple operations.

We bridge the gap between data lakes and warehouses, facilitating efficient data management. Transition from on-premises data centers to scalable cloud repositories to address evolving data needs. Our services include data lake implementation for high-volume data storage and processing, supporting various sources and formats. With data warehouse consulting, we assess and design architectures aligned with your business needs, ensuring production SLA and data quality.

We employ Amazon Kinesis, Apache Kafka, and Azure Stream Analytics for rapid information streaming and processing. Our expertise lies in implementing real-time and batch data processing systems across distributed environments. We facilitate the ingestion of processed data into the reporting layer, enabling analysis, historical reporting, dashboard visualization, and business intelligence. With practical experience, we tackle data sharing challenges through software solutions for fraud prevention, UX personalization, and automated recommendations.