Migration Engineering
We enable seamless transitions of your data to modern, scalable environments. Whether migrating from on-premises to the cloud, transitioning between cloud providers, or upgrading legacy systems, we ensure a smooth, secure, and optimised migration process with minimal downtime.
We assess existing architectures, develop a tailored migration strategy, and execute end-to-end migration with automated workflows and validation processes. Our approach includes data integrity checks, performance optimisation, and risk mitigation to ensure continuity and reliability. For MLOps, we migrate model training, deployment pipelines, and monitoring systems while optimizing infrastructure for cost efficiency and scalability.
How we can help you
Data Pipeline Engineering
Whether it’s a Big Bang, Incremental or Hybrid approach to the data migration, we can develop a data migration pipeline that’s suitable for your needs and future proofed. We develop pipelines that extract data from source and validate data integrity at the earliest possible stage, to ensure no data inconsistencies occur at a later pipeline stage. Our solutions enable automated data cleansing, curation, and enrichment at scale, providing a trusted journey to migrate data.
Platform Engineering
We provide the necessary infrastructure to ensure a reliable, scalable and secure data migration. We specialise in building bespoke platform architecture tailored to your needs and constraints for the data migration. We manage data migration workflows, considering security and compliance requirements to secure any sensitive data during a migration.
Data Synchronisation
Depending on the size of data to be migrated, our technical delivery team will work with you to identify the best data synchronisation strategy, to ensure data integrity and minimum business impact during the data migration process. The strategy will take into account the size of data, downtime requirements and whether real-time or batch syntonisation is needed. For long duration migrations, we can implement schema drift validation tests to quickly identify schema changes, mitigating risk.
with us
People behind the numbers
People behind the numbers
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George Clarke
Head of Data Engineering & MLOps Practice
George is a seasoned leader in data engineering with years of experience and MSc in big data and cyber security with a focus on data-intensive computing.
Over the course of his career, George has collaborated with a wide variety of businesses, including Fortune 500 companies, mid-sized businesses, and startups. George has first-hand knowledge of a wide range of technologies, including Hadoop, Spark, Flink, Kafka, and various cloud platforms like AWS, GCP, and Azure. In addition to his technical abilities, George is a fervent mentor and supporter of inclusion and diversity in the tech sector you can also catch him at conferences and meet-ups debating the most effective methods for data engineering and the newest trends.
Vlad is a seasoned Senior Data Engineer specialising in big data solutions. His diverse background equips him to approach projects from multiple angles, effectively bridging the gap between business requirements and technical execution. With several years of leadership experience, Vlad is adept at prioritising tasks and driving projects to successful completion. He is passionate about leveraging big data to empower organisations with data-driven insights and decision-making.
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Reach out today and we I'll be back in touch as soon as humanely possible. We've built world-class cloud-native data platforms for some of the largest enterprises in the UK. We'd love to help you too.
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