ETL & ELT SOLUTIONS

Expert ETL & ELT Solutions - Move, Transform and Integrate Your Data with Confidence

  • bannerweb-mainETL Pipeline Design & Build
  • bannerweb-mainCloud & On-Premise ETL Integration
  • bannerweb-mainSnowflake Migration & ETL
  • bannerweb-mainETL Data Pipeline Automation
  • bannerweb-mainETL Data Analytics & Reporting
  • bannerweb-mainAWS ETL Solutions
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  • 900+

    In-house Expert Developers

  • 70%

    Average Savings on Development Costs

  • 20K+

    Projects Delivered Successfully

Partnered with Startups and Fortune 500

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ACHIEVEMENTS

Recognised For Excellence in ETL & ELT Solutions

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.

Our Services

Our ETL & ELT Solutions - From Data Source to Analytics-Ready

ETL Pipeline Design & Build

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.

Source-to-target mappingTransformation logic designScheduling and dependency setupError handling and alerting
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ETL Data Integration

We connect your databases, SaaS tools, flat files, and APIs into a single, unified data flow with batch or near-real-time integration.

Multi-source connector setupAPI and database integrationBatch and incremental loadingData consistency and reconciliation
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ETL for Snowflake Migration

We handle the full ETL pipeline work needed to move your data into Snowflake, ensuring data accuracy and validation before go-live.

Legacy schema assessmentExtraction and load pipeline buildData type and format conversionPost-migration validation and testing
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ETL Developer Services

Our ETL developers work as an extension of your team, building, optimising, and maintaining pipelines across your data infrastructure.

Pipeline development and supportPerformance diagnosis and tuningCode review and documentationFlexible engagement options
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ETL Data Pipeline Automation

We automate your data pipelines end to end, reducing manual effort and ensuring reliable, continuous data movement.

Scheduled pipeline automationTrigger-based execution setupFailure recovery and retry logicPipeline monitoring and alerts
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ETL Data Analytics

We build the ETL layer that powers your analytics platforms with clean, structured, and reporting-ready data.

Analytics-ready data modellingAggregation and metric pipelinesBI tool integrationIncremental refresh and scheduling
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AWS ETL Solutions

We design and implement ETL pipelines on AWS using Glue, Lambda, Step Functions, S3, and Redshift with secure cloud governance.

AWS Glue and Lambda pipelinesS3 and Redshift integrationIAM and VPC configurationCost tagging and usage monitoring
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Cloud ETL/ELT Solutions

We deliver cloud ETL solutions across AWS, Azure, and GCP using managed services and cloud-native automation.

Azure Data Factory pipelinesGCP Dataflow and BigQueryServerless ETL executionCross-cloud data movement
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ETL Migration Services

We modernise legacy ETL workloads, migrate historical data, and validate performance before production cutover.

Legacy ETL workload assessmentJob translation and rewriteHistorical data migrationPre-go-live benchmarking
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Let’s Turn Your Data Into Opportunities!

Let’s Turn Your Data Into Opportunities!
ETL SPECIALISTS

Our Data Engineering Expertise

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.

Azure Data Factory
Azure Data Factory Azure Data Factory

Streamline your data workflows across Azure services effortlessly with Azure Data Factory. Optimize operations and gain insights faster than ever before.

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Databricks
Databricks Databricks

Drive innovation with advanced analytics and AI using Databricks. Accelerate data-driven decisions and unlock new opportunities for growth and efficiency.

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Snowflake
Snowflake Snowflake

Supercharge your data storage and processing with Snowflake. Our solutions deliver lightning-fast insights that empower quick and informed decision-making.

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Business Intelligence & Power BI
Business Intelligence & Power BI Business Intelligence & Power BI

Data engineering is the process of designing, building, and maintaining data infrastructure to support data-driven decision-making and business operations.

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DATA ENGINEERS

Hire ELT Data Engineers

Our ETL engineers specialise in advanced programmes that cover the following areas:

AWS data engineer

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

Azure data engineer

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

GCP data engineer

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

DataOps engineer

Our DataOps specialists optimize data operation pipelines across various platforms, to ensure seamless data flow processes and maximize operational efficiency.

WHY CHOOSE US

Why Enterprises Choose Dotsquares as Their ETL Solutions Partner

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.

Transform your enterprise data into actionable insights with Dotsquares, your trusted partner in data engineering.
Connect with Us!
Data Engineering Expertise
Over 24 years of expertise in providing comprehensive data engineering consulting and solutions.
Advanced Analytics
Proficient in implementing well-defined data APIs for seamless dataset integration.
Scalable Solutions
Extensive experience in cross-industry implementations with adaptable engagement models.
Industry Experience
Strong partnerships with leading technology providers such as Microsoft, Salesforce, AWS, Google, UiPath, and more.
Unmatched Expertise

What You Get When You Partner with Dotsquares

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ISO 27001 Certified Security

We maintain the highest international standards for data protection with ISO 27001:2022 certification, ensuring your intellectual property and sensitive information remain 100% secure.

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1000+ In-House Developers

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.

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24+ Years of Proven Excellence

With over 27,000+ successful projects delivered since 2002, we bring deep industry experience and a stable, reliable foundation to every partnership we build.

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Trusted Global Technology Partners

We are proud Microsoft Gold, AWS, and Salesforce Consulting partners, ensuring your solutions are built using the latest enterprise-grade technologies.

CASE STUDIES

Solutions We Have Built

Explore some of our ETL development projects that show how we build reliable, scalable data pipelines for real business needs.

Ivy Enterprise

Data Engineering Solution

Ivy Enterprise

  • case-iconChallenges

Managing diverse sales data sources efficiently and selecting the right analytics tools were key challenges.

  • case-iconSolution

To address these challenges, we automated data collection with Power BI, implemented effective data visualization, and used Azure Functions for real-time data extraction. Microsoft Azure Power BI provided robust analytics, enhancing decision-making across the client's restaurant enterprises.

  • TECHNOLOGY Azure
  • Region UK
Custom AI solutions

Building Production-Ready ETL
Infrastructure withScalable Pipelines
Automated Workflows
Real-Time Integration

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.

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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.

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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.

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OTHER TECHNOLOGIES WE WORK ON

Tailored Technologies to Conquer Your Development Challenges

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

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WHY CHOOSE US

The Advantages of Working with Dotsquares

We craft ETL solutions that transform how your business uses data. Here is what sets us apart:

Competitive Rates

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.

Expert Team

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.

Timely Delivery

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.

Quality Assurance

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.

Dedicated Support

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.

Custom Solutions

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.

HIRE AS PER YOUR REQUIREMENT

Flexible Engagement Models for Every Project

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.

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busines1 Bucket hours

When you buy bucket hours, you purchase a set number of hours upfront.

  • Your purchased bucket hours remain valid for 6 months, during this time frame, you can utilize our services until your hours are exhausted or until the 6-month period expires.
  • For example, if you invest in 40 bucket hours and use 10 hours within the first month, you will have a remaining 30 hours to utilize over the next 5 months.
  • In this case, the developer will work for other projects simultaneously as you have opted for bucket hours and not dedicated hiring.

It's a convenient and efficient way to manage your developer needs on your schedule.

Explore moreIt's a convenient and efficient way to manage your developer needs on your schedule.
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busines2 Dedicated/Regular Hiring

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.

  • The developer will work only on your project for a set amount of time.
  • You can choose to hire the developer for a week or a month, depending on what your project needs.
  • This means our developer will focus exclusively on meeting the needs of your project, without any distractions from other commitments.

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 moreWhether you need help for a short time or a longer period, our dedicated hiring option ensures your project gets the attention it deserves.
Our Process

Our ETL Implementation Process

Every 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.

Current Data Landscape Review

We document your existing sources, data formats, volumes, and current integration methods.

Workload Classification & Prioritisation

We classify ETL requirements as batch, incremental, near-real-time, or streaming and prioritise them based on business impact.

Cloud Platform & Tool Assessment

We review your cloud environment and tooling to identify the most suitable ETL services and frameworks.

Team Capability Assessment

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.

Source-to-Target Architecture Design

We map each source to its target, define transformation rules, and choose the appropriate load pattern.

Data Quality & Validation Design

We define quality checks, validation rules, and transformation controls to ensure reliable data delivery.

Orchestration Design

We design scheduling, dependencies, trigger behaviour, retry policies, and alerting workflows.

Architecture Review & Sign-Off

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.

Environment Setup & Configuration

We provision ETL environments, cloud services, storage, compute resources, and system connections.

Extraction & Transformation Pipeline Build

We build extraction and transformation logic with quality checks and well-documented code.

Load Layer & Target Integration

We configure data warehouse, data lake, and application targets with appropriate loading logic.

Automation & Custom Integration

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.

Pipeline Correctness & Data Quality Testing

We validate row counts, data types, transformation outputs, and business rules using representative datasets.

Performance & Load Testing

We benchmark pipeline execution times, optimise processing logic, and validate cost efficiency.

End-to-End Schedule Testing

We test dependencies, trigger behaviour, retry logic, and alert routing under realistic conditions.

Data Reconciliation Testing

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.

Historical Data Load

We migrate historical data with full validation of records, data types, and business rules.

Production Pipeline Activation

We activate schedules, validate dependencies, and monitor initial production runs.

BI & Dashboard Validation

We verify reporting tools and dashboards against production data before user access.

Go-Live Monitoring & Hypercare Support

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.

Continuous Pipeline Monitoring

We monitor run times, failures, data volumes, and performance to identify optimisation opportunities.

Schema Changes & Pipeline Maintenance

We update extraction, transformation, and load logic as systems and business requirements evolve.

Platform Upgrades & New Integrations

We implement new ETL tools, cloud services, and integrations to keep your platform modern.

Team Enablement & Knowledge Transfer

We provide training, code walkthroughs, and documentation to help your team manage and extend the platform.

Still not sure what you are looking for?

Talk to Our Experts
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WHO WE ARE

Built Relationships with 15,000+ Happy Clients!

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

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    5+ Years of Average Experience
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    Integrity & Transparency
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    FREE No Obligation Quote
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    ISO 27001 Information Security
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    Outcome-Focused Approach
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    Transparency is Guaranteed
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    Focus on Security
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    4.8/5 Rating on Clutch
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    Hire a Team of Your Choice
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    Costs Lower Than Your Local Guy
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Achievements

Leading Technology Partners and Achievements

With a history of excellence and innovation, we've been honored with several significant awards and partnered with leading technologies.

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FAQs

Frequently Asked Questions

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.

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