Our Services
Data Engineering
We design, build, test and deploy scaleable data pipelines, data processing jobs and data management solutions in AWS
Data Architecture
We design robust data architecture to optimise storage, discovery, access, management and analysis of your valuable data
DataOps Solutions
Our DataOps solutions streamline your data processes, promoting efficiency and reliability to enhance delivery and decision-making
Technical Discovery
Gain valuable insights with thorough technical discovery and launch new elements of your data landscape with an MVP
Data processing jobs
We are available to create AWS Glue or DBT data processing jobs for specific data tasks, focusing on scaleability and quality
Database Migrations
We can implement homogeneous or heterogeneous database migrations within the AWS cloud or from on-premises into the AWS cloud
Technologies
Our Approach
- We specialise in data engineering and data solution architecture in AWS, utilising a carefully selected set of services including AWS Glue for ETL and data cataloging, Amazon Kinesis for real-time data streaming, Amazon S3 for scalable storage, Amazon Redshift for data warehousing, DBT for ELT and Amazon SageMaker for machine learning pipelines.
- Our expertise encompasses the entire data lifecycle from ingestion, pre-processing, data modelling, data transformation and data warehousing to orchestration and analytics. We ensure that your data pipelines and data storage systems are optimised for all of the well-architected cloud NFRs including cost effectiveness, reliability and scalability.
- We integrate DataOps principles whenever needed to streamline development, testing and deployment. We implement Infrastructure as Code (IaC) using the AWS Cloud Development Kit (CDK), allowing for version controlled and repeatable infrastructure deployments. Tools like GitHub Actions and AWS CodePipeline for continuous integration and delivery (CI/CD) are also used to automate builds, tests and deployments of updates and features.
- We apply agile working practices and tickets to manage projects, typically using either Kanban or Scrum. Through regular refinement sessions or sprints we ensure that each phase of design and development aligns with your business goals.
Code and Documentation
You will receive the complete source code along with comprehensive project documentation for your project, ensuring that all relevant aspects of development are fully covered.
Where applicable we will also include an Architecture Decision Log (ADL) to provide an audit trail of key design choices and the rationale behind them throughout the project lifecycle.
Get In Touch
Ready to solve your data challenges? Contact us to find out more about our services and pricing