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Move fragmented legacy infrastructure onto a high-performance, AI-ready cloud data platform.
Discuss your data platform11+
Years of Experience
15+
Senior Data Engineers
Case Study
A diversified financial services enterprise operating across lending, insurance, and wealth management, managing large volumes of transactional, customer, and regulatory data across siloed systems.
Transforming Fragmented Data into a Unified, AI-Ready Intelligence Hub
Aligning Legacy Migration with Business ROI and Future-Ready Scaling
Aligning Legacy Migration with Business ROI and Future-Ready Scaling
Delivering a Future-Ready Data Estate with Strategic Precision and Operational Excellence.
We implement automated, AI-driven quality checks that proactively identify and fix anomalies. This ensures that your data transformation services result in high-integrity data that the business can trust for critical decision-making.
We don't just build pipelines; we optimize them using DataOps, MLOps, and BizOps. This integrated approach streamlines lifecycle management, ensuring your AI-driven data platforms are agile, resilient, and consistently high-performing.
We help you break through the "monolithic" data trap. By applying Data Mesh principles, we enable domain-specific teams with decentralized data ownership, making data consumable as a "product" across your entire organization.
Utilizing proprietary automation tools for legacy data migration, we reduce manual effort and minimize costs. Our approach prioritizes "quick wins," allowing your enterprise to see tangible ROI from your cloud data platform within months, not years.
We embed automated governance and metadata management into the very fabric of your modern data architecture. This shields your business from compliance gaps and security breaches while fostering a culture of transparent data usage.
Our solutions are technology-agnostic and built to scale. Whether it's expanding your AWS data lake modernization or integrating new Generative AI capabilities, we ensure your data estate grows seamlessly with your business ambitions.
AI-assisted capabilities can accelerate selected modernisation activities from schema mapping and data-quality analysis to governance and pipeline monitoring while keeping engineering teams in control of architecture and implementation decisions.
Use AI to analyse source and target schemas, identify corresponding fields, and suggest mappings during legacy data migration. Engineering teams can review and validate recommendations before transformations are deployed.
AI-assisted analysis can identify anomalies, duplicate records, missing values, and unexpected patterns across migrated datasets. These insights help data engineers prioritise quality issues and validate data before it reaches downstream platforms.
AI can assist with metadata classification, sensitive-data identification, tagging, and cataloguing across modern data environments. Combined with defined governance policies, these capabilities help organisations improve data visibility and apply appropriate controls during modernisation.
AI-assisted monitoring can analyse pipeline behaviour, processing times, failures, and workload patterns to surface potential issues earlier. This helps engineering teams investigate bottlenecks, optimise workloads, and maintain reliable data pipelines throughout the modernisation lifecycle.
Building the Foundation for Intelligence with Resilient, AI-First Data Ecosystems.
We balance quick wins with long-term enterprise data transformation, ensuring clear financial returns and measurable business growth. Our data projects prioritise bottom-line gains specific to your industry starting from day one.
Our approach keeps your business running while advancing in stages, from "lighthouse" projects to systematic data platform modernisation. This minimises interruptions to normal operations while steadily strengthening your data value.
We build a modern data architecture where systems scale seamlessly with your specific business needs. These infrastructures remain easily accessible across diverse cloud data platforms while staying fully compliant with security regulations.
Our end-to-end data platform modernisation work—from database upgrades to AI-driven data platforms—saves you from managing multiple vendors. We bring a refined approach that balances innovation with pragmatic risk management.
We keep processes visible from analysis to implementation, ensuring you understand the metrics of your data modernisation strategy. We use vendor-agnostic frameworks to ensure the solution fits your organisation's unique requirements.
Quickly scale your internal capabilities with our Senior Data Engineers to accelerate legacy data migration and engineering. Our specialists integrate directly into your workflows to fill skill gaps and drive high-velocity execution.
Cloudesign's Implementation Strategy
We architect and deploy high-performance Lakehouse architectures that unify structured and unstructured data into a single source of truth. This strategy eliminates the operational overhead of fragmented data silos while maintaining seamless multi-cloud flexibility and high-concurrency performance. Our implementation includes automated data partitioning and clustering to optimize query costs while ensuring ultra-fast retrieval for petabyte-scale datasets. We also establish cross-region data replication to provide enterprise-grade resiliency and localized data access for global teams.
Don't let outdated infrastructure stall your digital transformation. We provide targeted staff augmentation to embed Senior Data Engineers into your team, ensuring your migration to a modern, scalable ecosystem remains seamless and on schedule.
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Find quick answers about our data platform modernisation services.
Modernisation is essential to stay competitive. Legacy systems often hinder growth, while a modern data architecture enables agile decision-making, fosters innovation, and supports AI-driven transformation by unlocking the real value of siloed data.
By automating manual processes and migrating to a cloud data platform, companies eliminate expensive on-premise maintenance and licensing fees. This reduces manual errors and optimises resource allocation, significantly cutting operational costs.
Yes. Cloudesign uses specialised tools to automate complex migrations, ensuring data reconciliation and business continuity. Automation shortens timelines and reduces the risks typically associated with manual enterprise-scale transitions.
We embed self-healing processes and automated validation directly into our data transformation services. This allows for real-time detection of anomalies and ensures that the data in your new platform is reliable and accurate.
Absolutely. Our approach integrates DataOps and MLOps to streamline workflows. We build CI/CD pipelines that allow for agile, scalable, and highly reliable operations across your entire data and AI landscape.
Replacing outdated systems with secure, scalable cloud solutions minimises the risk of compliance gaps and breaches. We use automated governance and lifecycle management to ensure data integrity and prevent costly downtime during the transition.
Governance is the foundation of trust. We implement frameworks that protect sensitive information and maintain regulatory compliance, ensuring your team can make confident, data-driven decisions.
Enterprises often face hurdles like inconsistent data quality, legacy complexity, and internal resistance to change. We navigate these using a proven framework that combines robust governance with automated migration tools to ensure success.
While scope varies, many enterprises see ROI within months. We prioritise quick wins through automation and early deployment of analytics, accelerating productivity and tangible business improvements.
Data-intensive sectors like healthcare, retail, financial services, and manufacturing see the highest impact. These industries rely on speed-to-insight and strict regulatory compliance, which our modern data architecture provides.
Ready to discuss your next digital transformation project? Our experts are here to help you plan, design, and engineer solutions built for scale and performance.
Share your idea, and our team will schedule a discovery call to understand your goals and challenges.
Receive a tailored technology roadmap outlining architecture, tools, and timelines to bring your vision to life.
Once aligned, our engineers integrate seamlessly with your team to execute and accelerate delivery.
Send us an email at
sales@cloudesign.com
CLOUDESIGN TECHNOLOGY SERVICE PRIVATE LIMITED is an enterprise software and AI consulting firm founded in 2015 in Bengaluru, with offices in Bengaluru and Mumbai.
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BDA Complex, AISHWARYA, #70, 7th Cross, 16 B Main, 4th B Block, near Koramangala, Bengaluru, Karnataka 560034
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