- Our effective and intelligent strategy helps to transition business data between on-premises legacy systems and modern databases, such as cloud-based storage solutions along with new target platforms.
- We assess your existing data environment, optimize it and transform it and facilitate real-time exploration and analysis of data.
- We assist in migrating, modernizing, and managing databases and dataflows on scalable cloud-based infrastructures.
Explore Our Suite of Data Engineering Services
We transform data into actionable insights, empowering exceptional business operations.
- We excel in building top-tier, independent data workflow pipelines that guarantee seamless data movement, transformation, and storage.
- Proficient in ETL (Extract, Transform, Load) and data warehousing.
- Craft data pipelines from the ground up or leverage existing services from major cloud platforms.
- Our cloud experts adeptly design, develop, optimize, and test contemporary data architectures tailored to your requirements, ensuring data quality remains uncompromised.
- Assistance in accessing and processing data by integrating continuous integration (CI) and continuous development (CD) practices.
- Craft efficient production build and release pipelines utilizing infrastructure-as-code artifacts, reference/application data, database objects (schema definitions, functions, stored procedures, etc.), data pipeline definitions, and data validation and transformation logics.
- Implement a comprehensive data CI/CD orchestration framework for managing data ingestion, staging, and transformation processes.
- Extracting and refining both structured and unstructured data from diverse sources, whether streaming or batch, enabling further exploration and analysis.
- Aggregating diverse datasets from all your applications, systems, and databases, seamlessly transferring it to cloud data warehouse destinations for convenient analysis.
- Unlock the complete potential of amalgamating big data from your cloud-based applications, mainframes, databases, and file systems, expediting the discovery of novel insights.
- Our comprehensive ETL capabilities empower you to merge data from various systems into a unified database, data store, data warehouse, or data lake seamlessly.
- Implement data lakes, provide storage and process capabilities for high-volume data, regardless of its source and format.
- Evaluate and design architecture aligned with your business requirements, ensuring adherence to production SLAs and maintaining data quality.
- Bridge the gap between data lakes and data warehouses, facilitating efficient data management strategies.
- Harness the power of data streaming tools to enable swift streaming and processing of information on the go.
- Implement both real-time and batch data processing systems across distributed environments.
- Brings practical experience in tackling data sharing hurdles with software solutions tailored for fraud prevention, UX personalization, and automated recommendations.
- Deploy strong policies and controls to guarantee data integrity, privacy, and adherence to regulatory standards.