



Dotsquares is a recognised technology partner and preferred choice for Fortune 500 firms, growing businesses, and data-first startups looking to build a strong, scalable data foundation. Our expertise covers design, solutions, big data architecture on AWS, cloud architecture, and software - delivering structured, reliable, and future-ready data foundations for teams at every stage.


Data
Integration
We design the data integration architecture that connects your databases, APIs, SaaS tools, and file sources into a single, coherent data flow. Whether batch or near-real-time, we ensure every source feeds into your platform cleanly and consistently.
Know MoreData Warehouse
Architecture
We design and implement your data warehouse structure - defining table layouts, schema organisation, partitioning strategies, and query optimisation patterns. The warehouse is built to deliver fast, accurate results for your analytics and reporting teams.
Know MoreData Lake
Architecture
We design your data lake from the ground up - defining zone structure, file formats, partitioning, access controls, and the ingestion patterns that bring raw data in cleanly. Your analytics and data science teams get a reliable, well-governed lake without the usual mess.
Know MoreData
Migration
We assess your existing data environment, translate legacy structures to modern architecture patterns, migrate historical data, and run validation before anything moves to production. The cutover is planned, tested, and low risk.
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Unlock the full potential of your data with customized solutions. Achieve smarter decisions, greater efficiency, and lasting business success
Ensure that your data is accurate, consistent, and reliable, eliminating the chances of errors and inconsistencies.
Make more informed decisions based on real-time data and insights.
Streamline data processes and reduce bottlenecks, improving efficiency and productivity.
Our data engineer specializes in advanced programs that encompas the following areas:

AWS data engineer
Specializing in Amazon Web Services, our team provides tailored solutions that ensure robust performance and scalability for your data needs.

Azure data engineer
Using Microsoft Azure, we excel in executing comprehensive data engineering projects, optimizing workflows, and enhancing integration capabilities.

GCP data engineer
With expertise in Google Cloud Platform, we provide efficient data management solutions that enhance your data analytics and storage capabilities.

DataOps engineer
Our DataOps specialists optimize data operation pipelines across various platforms, to ensure seamless data flow processes and maximize operational efficiency.
With a team of over 1,000+ experts combined with their exclusive experience, we offer comprehensive data analytics engineering services to help businesses make informed, data-driven decisions.




We maintain the highest international standards for data protection with ISO 27001:2022 certification, ensuring your intellectual property and sensitive information remain 100% secure.
Our team of 1,000+ in-house experts is recruited through a rigorous screening process, selecting only the top technical talent to ensure premium quality for every project.
With over 27,000+ successful projects delivered since 2002, we bring deep industry experience and a stable, reliable foundation to every partnership we build.
We are proud Microsoft Gold, AWS, and Salesforce Consulting partners, ensuring your solutions are built using the latest enterprise-grade technologies.
Explore some of our projects that show how we design and deliver reliable, scalable data foundations for real business needs.
Our practice integrates with your full technology stack - from cloud platforms and data warehouses to BI tools, orchestration frameworks, and enterprise data sources.


























































We don't just build websites - we craft solutions that transform your business. Here's what sets us apart:

Clear Communication
We believe in total transparency. You'll get regular updates on your project's progress, and your feedback is always welcome. Plus, you'll always own all the code and creative elements we create for you.

On-Time Delivery
We use cutting-edge project management tools and agile development practices to keep your project on track. This means you'll get a high-qualitdeliveryed exactly when you expect it.

Solutions Built for Your Needs
Whether you need a custom-built or strategic optimisation of an existing one, we prioritise your unique goals. We'll ensure your development perfectly aligns with your digital strategy.

Direct Collaboration
Consider our team an extension of yours! You'll have direct access to the talented developers and designers working on your project during agreed-upon hours, ensuring smooth collaboration.

Elevated User Experience
Our creative and skilled UI/UX designers and developers leverage the latest technologies to deliver user-friendly, scalable, and secure development that drive results and meet your evolving business needs.

Flexible Engagement Models
We understand that your needs can change. That's why we offer flexible engagement options. Choose the model that works best for you now, and switch seamlessly if your needs evolve. We're committed to building a long-term, reliable partnership with you.
At Dotsquares, we provide flexible options for accessing our developers' time, allowing you to choose the duration and frequency of their availability based on your specific requirements.

When you buy bucket hours, you purchase a set number of hours upfront.
It's a convenient and efficient way to manage your developer needs on your schedule.
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In dedicated hiring, the number of hours are not fixed like the bucket hours but instead, you are reserving the developer exclusively for your project.
Whether you need help for a short time or a longer period, our dedicated hiring option ensures your project gets the attention it deserves.
Explore moreCompanies employ software developers from us because we have a proven track record of delivering high-quality projects on time.











Every engagement follows a structured six-stage process that takes you from initial discovery through design, build, testing, and into a fully running data platform with clear outcomes and full visibility at every stage.
Discovery & Assessment
Before recommending any architecture pattern or tooling, we thoroughly understand your current data environment, sources, team setup, and business goals, creating a strong foundation for every design decision.
We document your existing data sources, formats, storage systems, and data movement across the organisation.
Identify analytics, reporting, ML, and operational data use cases and prioritise them based on business value.
Review your current cloud environment and software stack to identify opportunities and gaps.
Assess your team's skills and determine where documentation, training, and architectural guidance are required.
Design
With a clear understanding of your environment, our architects design the data platform, defining storage, integration, governance, and access strategies before any infrastructure is built.
Design storage zones, table structures, and data models for raw, processed, and analytics-ready data.
Define source-to-target mappings, transformation logic, and integration patterns for all data flows.
Create access policies, classification rules, and audit controls to secure and govern data usage.
Review and approve the complete architecture, governance model, and tooling choices before implementation.
Development
We build the platform and pipelines in phases, enabling early visibility into data flows while incrementally delivering the complete architecture.
Provision cloud resources, configure networking and identity controls, and connect source and target systems.
Build ingestion and transformation pipelines with integrated quality checks and lineage tracking.
Configure catalogues, metadata tagging, and access controls to ensure discoverability and compliance.
Set up modelling tools, orchestration platforms, and quality frameworks for a unified environment.
Testing
Before production deployment, we perform comprehensive validation of data quality, performance, governance, and platform reliability.
Validate record counts, data types, field values, and business rules against acceptance criteria.
Benchmark queries and pipeline performance while validating scalability and cost targets.
Test complete data flows from extraction to transformation and loading across all systems.
Verify access permissions, masking rules, sharing policies, and overall security compliance.
Deployment
We manage the complete production rollout, from data migration and pipeline activation to reporting validation and post-launch support.
Migrate legacy data with full validation of records, data types, and business logic.
Activate production schedules and monitor initial data processing cycles to ensure stability.
Validate reporting tools and dashboards against production data to ensure accuracy.
Provide dedicated post-launch monitoring and issue resolution during the critical go-live phase.
Support
We provide ongoing engineering support to ensure your data platform remains scalable, secure, efficient, and aligned with evolving business requirements.
Monitor performance, storage, costs, and data volumes while identifying optimisation opportunities.
Update architectures, pipelines, and governance policies as systems and requirements evolve.
Implement relevant cloud services, tools, and integrations to keep the platform modern and efficient.
Provide training, documentation, and technical guidance to help your team manage and extend the platform.

It is the overall design that defines how data is collected, stored, organised, and accessed across your business. It covers your data structures, integration flows, governance rules, and the tools used to manage it all.
Software refers to the tools used to model, document, and manage your data environment - such as catalogues, modelling tools, and orchestration platforms. Services refer to the consulting and engineering work of designing and building your data platform. You typically need both.
Big data architecture on AWS uses services such as S3, Glue, EMR, Athena, Redshift, and Lake Formation to build a scalable, governed data platform in the cloud. The right combination depends on your data volumes, latency needs, and budget. We assess your setup and recommend the best fit.
A focused design and initial build typically takes 6 to 10 weeks. Full platform builds covering multiple sources and workloads usually run 3 to 5 months. We confirm timelines after the initial scoping session.
Yes. We assess your current setup, identify what is holding you back, and design a modernisation roadmap. We then handle the migration to modern solutions - including cloud migration, schema redesign, and new tooling - with validation testing before anything moves to production.