





Dotsquares is a recognised technology partner and preferred choice for Fortune 500 firms, growing businesses, and data-driven startups looking to build reliable ETL and ELT pipelines. Our expertise covers ETL pipeline design, ETL data integration, cloud ETL development, Snowflake migration, AWS ETL solutions, and ETL data analytics - delivering clean, connected, and timely data wherever your teams need it.
We design and build your ETL pipelines around your actual data volumes, source systems, and delivery requirements. Every pipeline is production-ready before it touches live data.

Businesses struggle to get value from their data when pipelines are slow, broken, or poorly designed. Our 20+ years of experience can help you build and maintain reliable ETL solutions. We offer flexible options that fit your team and your timeline.
Our ETL engineers specialise in advanced programmes that cover 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 ETL development projects that show how we build reliable, scalable data pipelines for real business needs.
We design and build end-to-end ETL pipeline automation - from raw data extraction through transformation and load. Every pipeline runs on a schedule, handles failures gracefully, and alerts your team when something needs attention.

We build the ETL data analytics layer that gives your business teams clean, structured data in their BI tools. This covers transformation pipelines, aggregation logic, and direct connections to Power BI, Tableau, and Looker.

Whether you are starting fresh or improving existing pipelines, we help you design an ETL architecture that fits your sources, targets, and team. We assess your current setup and design an integration environment built for long-term performance.

Harness the power of our advanced technologies to elevate user interaction and drive engagement.



























































We craft ETL solutions that transform how your business uses data. Here is 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.
Explore more
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 moreEvery project follows a structured six-stage process that takes you from initial discovery through design, build, testing, and into fully running ETL pipelines with clear outcomes and full visibility at every step.
Discovery & Assessment
Before recommending any pipeline design or tooling, we thoroughly understand your current data sources, target systems, team setup, and business goals to build the foundation for every decision that follows.
We document your existing sources, data formats, volumes, and current integration methods.
We classify ETL requirements as batch, incremental, near-real-time, or streaming and prioritise them based on business impact.
We review your cloud environment and tooling to identify the most suitable ETL services and frameworks.
We assess your team's technical skills and determine where support, documentation, and ETL expertise are needed.
Design
With a clear understanding of your environment, our architects design the ETL pipeline structure, defining source connections, transformation logic, load patterns, and scheduling before any code is written.
We map each source to its target, define transformation rules, and choose the appropriate load pattern.
We define quality checks, validation rules, and transformation controls to ensure reliable data delivery.
We design scheduling, dependencies, trigger behaviour, retry policies, and alerting workflows.
The complete ETL architecture is reviewed and approved before development begins.
Development
Our ETL pipelines are built in stages, allowing you to see data flowing early while we progressively deliver the complete solution.
We provision ETL environments, cloud services, storage, compute resources, and system connections.
We build extraction and transformation logic with quality checks and well-documented code.
We configure data warehouse, data lake, and application targets with appropriate loading logic.
We develop automation scripts, API integrations, and scheduling modules for custom workflows.
Testing
Before production deployment, we run a full validation programme covering data accuracy, performance, load handling, and scheduling reliability.
We validate row counts, data types, transformation outputs, and business rules using representative datasets.
We benchmark pipeline execution times, optimise processing logic, and validate cost efficiency.
We test dependencies, trigger behaviour, retry logic, and alert routing under realistic conditions.
We compare source and target records to ensure complete and accurate data movement.
Deployment
We manage the full production rollout, from infrastructure sign-off and historical data migration through to cutover and early-stage monitoring.
We migrate historical data with full validation of records, data types, and business rules.
We activate schedules, validate dependencies, and monitor initial production runs.
We verify reporting tools and dashboards against production data before user access.
We provide dedicated monitoring and issue resolution during the post-launch period.
Support
We provide ongoing engineering support to ensure your ETL pipelines remain reliable, scalable, and aligned with changing business requirements.
We monitor run times, failures, data volumes, and performance to identify optimisation opportunities.
We update extraction, transformation, and load logic as systems and business requirements evolve.
We implement new ETL tools, cloud services, and integrations to keep your platform modern.
We provide training, code walkthroughs, and documentation to help your team manage and extend the platform.

Companies employ software developers from us because we have a proven track record of delivering high-quality projects on time.











Find answers to common questions about our services, process, and expertise.
ETL stands for Extract, Transform, Load. It is the process of pulling data from one or more source systems, cleaning and reshaping it, then loading it into a target such as a data warehouse or analytics platform.
In ETL, transformation happens before the data is loaded into the target. In ELT, data is loaded first and then transformed inside the target system. ELT is common with cloud data warehouses like Snowflake and BigQuery where in-platform computation is fast and affordable.
The right tool depends on your source systems, team skills, and budget. Common options include dbt for transformation, Fivetran or Airbyte for managed ingestion, and AWS Glue or Azure Data Factory for custom pipelines. We assess your setup and recommend the best fit for your Snowflake migration.
A focused pipeline build typically takes 4 to 8 weeks. Larger migrations or multi-source integration projects usually run 2 to 4 months. We confirm timelines after the initial scoping session.
Yes. We assess your existing pipelines, translate legacy jobs to modern cloud frameworks, migrate historical data, and run full validation testing before anything moves to production so the transition is clean and low risk.