Data Engineering Services
Build a data-driven journey with a robust infrastructure that seamlessly collects, stores, processes, and transforms valuable data with our data engineering services.
Projects Completed Successfully
Agile Developers & Designers
Offices Across 3 Continents
Customer Success Rate
Services we offer
Empower your organization to leverage the value of data
At Venture Dive, we provide detailed requirement analysis, efficient data model design, and strict data governance enforcement. We deliver scalable and cost-effective solutions by assessing your current infrastructure and optimizing your data workflows. Our commitment extends to testing, complete documentation, and crucial knowledge transfer, to ensure your organization is well-equipped to manage and scale its data infrastructure.Learn more
Data exploration and mapping serve as a compass in the complex landscape of your organization’s data ecosystem. We expertly navigate this terrain, identifying data sources, deciphering data structures, and documenting data flows. By efficiently understanding your data blueprint, we formulate the path to insightful analytics and effective governance. Our process includes evaluation of data quality to reveal hidden assets. This helps in laying a solid foundation for data analytics and governance.Learn more
In addition to creating platform infrastructures, we also provide support for data engineering services such as database migrations to cloud platforms, ETL/ELT development, quality assurance and data pipeline monitoring.
The preservation of data confidentiality, availability, and integrity forms the cornerstone of our data governance and security. We carefully establish and enforce data policies, delineating clear roles, responsibilities, and ownership. This includes rigorous implementation of access controls and encryption measures, ongoing monitoring of data usage, and strategic handling of potential data breaches.Learn more
At VentureDive, we ensure the cleanliness and accuracy of data through processes such as data profiling, data contracts, schema validation, and error handling. Our data excellence assurance encompasses evaluation, maintainenance, and enhancement of the overall data quality and hygiene. We ensure to instate industry-standard benchmarks for data quality, implement robust data governance practices, and enforce automated audits to identify and alert issues concerning your data assets.Learn more
Based on individual customer requirements, we aggregate diverse data sources with modern lakes and create structured warehouses for analytics. Leveraging leading lakehouse designs, we blend the strengths of lakes and warehouses for comprehensive data management. When dealing with large decentralized data volumes, we implement data mesh architectures, while data fabrics are used when real-time data integration is required across platforms.Learn more
Creating efficient data workflows is integral to any data-driven organization. We excel in developing data pipelines – automated workflows that extract, transform, and load data from their sources to the target systems. Furthermore, we ensure the data flows efficiently and is updated promptly, enabling timely analysis and decision-making. All this execution is done in line with the industry standards to make sure that your data is reliable and updated.
Harnessing ETL (Extraction, Transformation, and Loading) and ELT (Extraction, Loading, and Transformation) methodologies, we expertly transform your raw data into a format primed for informed decision-making.
We emphasize streamlining the data refinement process and ensuring it aligns seamlessly with your business goals. Our proficient team works tirelessly to mitigate any data challenges, guaranteeing a robust dataset that is reliable, insightful, and ready for your business.
We start by understanding the organization’s and its stakeholders' needs; by identifying the types of data they require, defining data sources, determining their data quality requirements, and understanding the outcomes they wish to achieve.
In the second phase, we gather data from databases, files, APIs, or streaming platforms. This can include both structured and unstructured data.
In this step, we remove duplication, handle missing values, standardize formats, and transform the data into a consistent structure. This is to clean and preprocess the data for usability.
After data cleaning, in the fourth step, we combine data from different systems and formats to create a unified view. This helps resolve inconsistencies.
In the fifth step, we store the data in traditional relational databases, data warehouses, data lakes, or cloud-based storage solutions after processing and integrating it.
Data Delivery and Maintenance
After implementing data security and governance measures, we validate it and make it available to the end-users. Monitoring continues, so we adapt to the changing data requirements.
Modernizing your data stack with the latest technologies
Google Looker Studio
Microsoft Azure Data Lake Gen 2
Azure Blob Storage
Azure Data Factory
Azure Cosmos DB
Azure Stream Analytics
Azure Event Hubs
Azure DevOps and Github
Open Source - DS
Microsoft Azure Machine Learning Studio
Google Cloud Platform AI Platform
Ruby on Rails
CSS3 | HTML5
Guiding enterprise data architecture for leading growth-oriented firms worldwide
Kashat is the first Nano lending mobile application in Egypt, offering instant short-term loans to small business owners.
Simplifi is a leading automated Cards as a Service (CaaS) platform for MENA and Pakistan.