Sold by: CloudAI Technologies
Data Engineering & Pipelines builds reliable batch and real-time pipelines on AWS Glue, Amazon EMR (Spark), Amazon Managed Workflows for Apache Airflow (MWAA), and Amazon Managed Streaming for Apache Kafka (MSK), with dbt for transformations. We embed data quality checks, schema validation, lineage tracking, and self-service access so clean, timely data reaches every team that needs it.
Overview
"Data teams spend 70-80% of their time on data preparation and pipeline maintenance instead of analysis, and unreliable pipelines are the number-one blocker to AI model accuracy and trust in analytics. CloudAI's Data Engineering & Pipelines builds batch and real-time pipelines on AWS using AWS Glue, Amazon EMR, Amazon MWAA, and Amazon MSK, with dbt models and Apache Spark — so data flows reliably and your teams get back to high-value work.
Related AWS services and AWS Marketplace products this engagement supports:
- AWS Glue
- Amazon EMR
- Amazon Managed Workflows for Apache Airflow (MWAA)
- Amazon Managed Streaming for Apache Kafka (MSK)
Manual data movement doesn't scale and introduces errors that compound downstream. CloudAI implements data quality checks with AWS Glue Data Quality, schema validation, lineage tracking, and automated testing at every stage, plus self-service access layers with proper controls and documentation — giving you pipelines you can trust and audit.
Learn more about our full portfolio of AI and data solutions at https://cloudaillc.com/solutions/ai-and-data .
CloudAI Data Engineering & Pipelines services include, but are not limited to:
Batch and real-time pipeline development on AWS Glue and Amazon EMR Apache Spark, dbt, Apache Airflow (Amazon MWAA), and Apache Kafka (Amazon MSK) implementation AWS-native pipeline services and orchestration (AWS Step Functions, AWS Lambda) Data quality checks (AWS Glue Data Quality) and schema validation Lineage tracking and automated testing Self-service data access layers Access controls and documentation Pipeline monitoring and alerting with Amazon CloudWatch
Note: This professional services engagement is billed entirely through AWS Marketplace. Any AWS services or AWS Marketplace products provisioned in the customer's AWS account during or after the engagement are billed separately by AWS and are the customer's responsibility."
Highlights
- Build reliable, automated batch and real-time data pipelines using Spark, dbt, Airflow, Kafka, and cloud-native services, replacing brittle manual data movement that doesn't scale and compounds errors downstream.
- Embed data quality checks, schema validation, lineage tracking, and automated testing at every stage, so the data feeding your analytics and AI models is trustworthy — removing the number-one blocker to model accuracy.
- Stand up self-service data access with proper controls and documentation, cutting data-preparation time by up to 70% and freeing your data team to focus on analysis instead of pipeline maintenance.
Details
Sold by
Categories
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Support
Vendor support
"Expert support from your CloudAI team. From first consultation to daily operations, CloudAI combines senior AWS-certified architects and AI specialists with always-on service to deliver technology when and how you need it.
Every engagement is backed by a named Engagement Lead, weekly delivery reviews, defined response SLAs, and a documented handover to your team.
Email: support@cloudaillc.com Phone: (202) 503-2238 Contact: