ETL/ELT Pipeline Development on AWS, BigQuery & Azure
Modern Data Pipelines That Power Analytics, AI & Operations
Your business generates data across applications, e-commerce, CRM, ERP, marketing, and operations, but without proper ETL/ELT pipelines, that data stays siloed and underused. DBot Software designs and implements modern ETL/ELT pipelines on **AWS, Google BigQuery, and Azure**, turning raw data into analytics-ready models for BI, machine learning, and operational dashboards.
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/The Challenge/
Scattered, Manual Data Flows Block Insight
Many organizations rely on manual exports, fragile scripts, or legacy ETL tools. Pipelines break, data arrives late, and teams lose trust in the numbers. This leads to slow decision-making, inconsistent KPIs, and missed opportunities for optimization and automation.
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Industries Trusting Our Solutions
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IP Rights Secured
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/Our Approach/
Imagine Clean, Automated Data Pipelines Across All Your Cloud Platforms
Imagine data flowing automatically from your SaaS tools, databases, and applications into a well-modeled warehouse or lakehouse. On AWS, BigQuery, or Azure, your teams can access accurate, fresh data for dashboards, reporting, AI models, and experimentation, without chasing CSVs.
/Get Started/
Start Building Modern ETL/ELT Pipelines on AWS, BigQuery & Azure Today
Tell us your current stack, data sources, and reporting needs. We'll propose a pragmatic roadmap for modernizing or building your pipelines.
/What’s at Stake/
Avoid Broken Pipelines, Data Drift & Untrusted Dashboards
Homegrown scripts and legacy ETL often lead to silent failures, inconsistent results, and engineering fire drills. We reduce this risk with robust orchestration, testing, version control, and clear ownership.
Talk to a Data Engineering Expert/Proven Results/
Trusted by Data-Driven Teams Across 12+ Industries
From e-commerce and logistics to SaaS and manufacturing, teams trust DBot to build stable, scalable pipelines that support real-time and batch analytics.
Real Impact From Proper ETL/ELT Foundations
Our clients have seen faster reporting cycles, reduced manual data work, better KPI reliability, and a strong foundation for AI and advanced analytics.
Griffwerk
Griffwerk: Redefining Efficiency and Cost Reduction in the Door Industry
Enhance operational efficiency and reduce costs.
Griffwerk partnered with DBot to integrate intelligent automation and software solutions into their processes. This collaboration focused on streamlining workflows through Robotic Process Automation (RPA) and Python-based automation, ensuring greater accuracy, speed, and cost-effectiveness in daily operations.
Heicko
Heicko e-ast GmbH: Streamlining CRM and ERP Systems with DBot Solutions
To enhance efficiency and automation, Heicko e-ast GmbH partnered with DBot to optimize their CRM and ERP systems.
By streamlining sales processes and automating key operations, DBot helped Heicko reduce manual workload, improve data accuracy, and enhance sales performance. Through intelligent automation, including RPA and API integrations, Heicko’s operations became more agile and scalable.
Häfele
Hafele's Digital Transformation: Intelligent Automation in the Furniture and Hardware Industry
DBot partnered with Häfele to drive a large-scale digital transformation through intelligent automation.
The collaboration spanned various projects, from custom software solutions to automation enhancements. One of the key achievements was the overhaul of Häfele's purchase order system using cutting-edge OCR (Optical Character Recognition) and RPA (Robotic Process Automation) technologies.
RIS Swiss Section Bangkok
RIS Swiss Section Bangkok: 60-Year Legacy in Digital Transformation for Education
60-Year Legacy in Digital Transformation for Education.
RIS Swiss Section Bangkok, a renowned German language school, embarked on a comprehensive digital transformation journey in collaboration with DBot. This marked a significant milestone in the institution's legacy, a commitment to embracing cutting-edge technology and enhancing the educational experience.
DD Bricks
DD Bricks: Revolutionizing E-Comm with a Customized ERP System
Revolutionizing E-Comm with a Customized ERP System.
DD Bricks, the global leader in e-commerce for pre-owned Lego components, embarked on a transformative journey to enhance its operations and solidify its position in the dynamic Lego marketplace. They partnered with DBot to create a tailored ERP system, a game-changing move in the world of Lego commerce.
Alpega
Alpega Group: Enhancing Transport Management Software Excellence
Enhancing Transport Management Software Excellence.
Alpega is a leading global logistics software company that offers end-to-end solutions that cover all transport needs, including transport management services (TMS) and freight exchanges. Dive into the challenges faced, innovative solutions implemented, and the transformative results achieved in the logistics software sector.
Frequently Asked Questions About ETL/ELT on AWS, BigQuery & Azure
Here are the most important questions companies ask when modernizing their data pipelines across cloud platforms.
Contact usWhat platforms do you support for ETL/ELT?
AWS (Redshift, Glue, EMR), Google BigQuery, Azure Synapse, Databricks, and more.
Do you work with batch and streaming data?
Yes. We design pipelines for both batch loads and near-real-time/streaming needs.
Can you modernize legacy ETL (Informatica, SSIS, etc.)?
Absolutely. We migrate old ETL jobs into modern, scalable ELT architectures.
Which tools do you use?
dbt, Airflow, Glue, Dataflow, Data Factory, Spark, Kafka, and cloud-native orchestration tools.
How long does a typical engagement take?
Initial pipelines and core models: 4-8 weeks; broader data platforms are phased over time.