Sold by: RebelDot
Struggling with fragmented data or slow insights? RebelDot builds governed data platforms, ETL/ELT pipelines, and analytics solutions on AWS to turn raw data into business value.
Overview
Turn Raw Data Into Business Value With AWS-Native Data Platforms
RebelDot helps organizations design, build, and modernize data platforms on AWS, delivering scalable, governed, and cloud-native architectures tailored to your analytics and AI objectives.
Our data engineering and analytics services span the full lifecycle of a modern data platform. We work with your team to assess existing infrastructure, define target-state architecture, and implement solutions that accelerate time to insight while reducing operational complexity.
Core Service Areas
Data Architecture and Platform Design Establish a scalable foundation for analytics and machine learning workloads with modern data lakes and lakehouses built on Amazon S3, AWS Glue, AWS Glue Data Catalog, and Apache Iceberg. Your team gains a future-proof architecture designed for performance and cost efficiency.
ETL/ELT and Data Pipelines Move data reliably from source systems into your data platform with batch and streaming ingestion pipelines. We leverage AWS Glue, Amazon Kinesis, and related services for transformation, orchestration, and scheduling - so your data arrives where it needs to be, when it needs to be there.
Analytics and Business Intelligence Enable self-service and governed analytics using Amazon Athena, Amazon Redshift, and integrated visualization layers. Stakeholders can query and explore data without bottlenecks, driving faster and more confident decision-making.
Data Governance and Cataloging Ensure your data assets are discoverable, trustworthy, and compliant through cataloging, lineage tracking, access controls, and quality frameworks. Governance is built into the platform from day one - not bolted on afterward.
Databricks on AWS Unify data engineering and analytics workloads with Databricks-based lakehouse deployments fully integrated with AWS storage, networking, identity, and governance services.
Legacy Platform Migration Migrate workloads from on-premises or legacy data platforms to AWS with minimal disruption. We modernize pipelines, schemas, and delivery patterns so your team can leave technical debt behind.
Who This Is For
RebelDot's data engineering services are designed for organizations that need to:
- Start from scratch - Stand up a production-ready data lake or lakehouse on AWS with governed, well-architected foundations.
- Consolidate fragmented data sources - Bring siloed databases, spreadsheets, and legacy systems into a unified, queryable platform.
- Optimize an existing AWS environment - Improve pipeline reliability, reduce costs, and extend your current data platform with new analytics or AI capabilities.
- Migrate off legacy infrastructure - Move from on-premises Hadoop clusters, traditional data warehouses, or outdated ETL tooling to modern AWS-native services.
Why RebelDot
RebelDot combines deep AWS expertise with practical experience across industries to deliver data platforms that are production-ready, cost-efficient, and built for growth. Our team provides the architecture, engineering, and governance needed to transform raw data into measurable business outcomes.
Every engagement is scoped to your specific environment and objectives. Whether you need a full platform build, a targeted migration, or ongoing optimization, we align our delivery to your priorities and timeline.
Get Started
Ready to modernize your data platform on AWS? Reach out to start a conversation about your data engineering goals and learn how RebelDot can help you move from assessment to production.
Highlights
- End-to-end data platform delivery on AWS - from architecture design through production deployment. RebelDot assesses your existing infrastructure, defines target-state architecture, and implements solutions using Amazon S3, AWS Glue, Apache Iceberg, Amazon Athena, and Amazon Redshift. Whether you are starting from scratch, consolidating fragmented data sources, or optimizing an existing AWS environment, engagements are scoped to deliver production-ready, governed platforms built for growth.
- Batch and streaming ETL/ELT pipelines engineered to power analytics, reporting, and AI workloads across your organization. RebelDot designs ingestion workflows that reduce operational complexity and accelerate time to insight, integrating with your existing systems and scaling to meet evolving data volumes. Pipelines are built with monitoring, error handling, and governance embedded from the start.
- AWS-native and Databricks-based architecture with expertise in governance, optimization, and migration from legacy systems. RebelDot works with your team to implement data catalogs, access controls, lineage tracking, and quality frameworks - ensuring your data platform meets compliance requirements while enabling self-service analytics and cross-functional data access.
Details
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Deployed on AWS
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Support
Vendor support
RebelDot provides technical support throughout each professional services engagement, including implementation guidance and issue resolution related to the agreed scope of work.
How to Reach Us
Engagement Support
During an active engagement, RebelDot's team provides hands-on support covering architecture decisions, pipeline troubleshooting, configuration issues, and deployment guidance. Support scope, response expectations, and delivery arrangements are defined as part of each customer engagement agreement.
For questions about services, troubleshooting active projects, or requesting refunds, contact RebelDot directly at the email or web address listed above.