Sold by: NeenOpal
NeenOpal embeds expert teams to build scalable ETL pipelines, data warehouses, and cloud infrastructure on AWS - turning raw data into actionable insights for growing businesses.
Overview
Transform Your Data Operations with NeenOpal
Data Engineering and Infrastructure form the backbone of data-driven decision-making. NeenOpal is a data and AI consulting firm that embeds expert teams directly into your operations to design, build, and optimize the systems that collect, process, and deliver accurate, actionable insights on AWS.
Why Data Engineering Matters
Without a robust data strategy, businesses face inefficiencies, missed opportunities, and slow decision-making. A well-architected infrastructure ensures scalability, reliability, and the ability to turn raw data into competitive advantage.
Why Choose NeenOpal?
As an AWS Advanced Tier Services Differentiated Partner with Data and Analytics Competency, SaaS Competency, multiple AWS Service Deliveries, and FTR-validated solutions, NeenOpal brings deep, certified expertise to every engagement. Our embedded-team model means we work alongside your staff rather than handing off documentation - ensuring knowledge transfer and long-term ownership.
- Embedded Expert Teams: We integrate directly into your workflows, accelerating delivery and reducing communication overhead.
- AWS-Native Architecture: Every solution leverages AWS-managed services for reliability, security, and cost efficiency.
- Scalable by Design: Systems are built to handle growing data volumes without re-architecture.
Our Technical Expertise
We deliver solutions across industries by leveraging a robust AWS-native tech stack:
- ETL Pipelines and Orchestration: AWS Glue, Amazon Kinesis, AWS Step Functions, AWS Lambda
- Data Warehousing and Storage: Amazon Redshift, Amazon RDS, Amazon DynamoDB
- Analytics and Visualization: Amazon QuickSight, custom dashboards
- Programming: Python, R, SQL
How We Deliver Results
- Discovery Call: A detailed consultation to understand your business needs, data landscape, challenges, and goals - including requirements for cloud adoption, migration, or custom development.
- Statement of Work (SoW): A clear document outlining deliverables, timelines, milestones, and acceptance criteria.
- Development Phase: Our embedded team designs and builds solutions tailored to your requirements - ETL pipelines, workflows, and infrastructure components.
- Proof of Concept (PoC): When appropriate, we develop a PoC to demonstrate feasibility and value before full-scale implementation.
- Deployment and Optimization: We deploy, monitor, provide hands-on training, and ensure seamless integration into your operations.
Scope and Prerequisites
To ensure a successful engagement, buyers should be prepared to provide:
- Access to existing data sources and AWS account credentials
- A designated technical point of contact for requirements and sign-offs
- Data governance and compliance requirements documentation
Typical exclusions (unless explicitly scoped): On-premises hardware procurement, non-AWS third-party tool licensing, and ongoing managed services beyond the deployment phase.
Use Case Example
A client needed to consolidate fragmented data sources into a unified analytics platform on AWS. NeenOpal embedded a team that designed a serverless ETL pipeline using AWS Glue and Amazon Kinesis to ingest and transform data in near real-time, loading it into Amazon Redshift for analytics via Amazon QuickSight. The architecture leveraged AWS Lambda and Step Functions to orchestrate workflows, reducing manual intervention and infrastructure overhead while enabling scalable, on-demand processing.
Get Started
Partner with NeenOpal to simplify, scale, and future-proof your data engineering and infrastructure. Contact us through AWS Marketplace to begin your Discovery Call and take the first step toward a modern, AWS-native data platform.
Highlights
- Built and deployed serverless data architectures using AWS Lambda and AWS Step Functions for workflow orchestration. Our embedded-team approach ensures knowledge transfer to your staff, reducing long-term dependency on external consultants while enhancing operational efficiency and minimizing infrastructure overhead through event-driven, pay-per-use compute models.
- Implemented scalable data storage and management solutions using Amazon Redshift, Amazon RDS, and Amazon DynamoDB. As an AWS Advanced Tier Partner with Data and Analytics Competency, we architect for high availability, durability, and cost optimization - selecting the right database engine for each workload pattern to balance performance with spend.
- Optimized ETL workflows and real-time data processing with AWS Glue and Amazon Kinesis, enabling seamless data integration across multiple systems. Our solutions are designed for scale - handling growing data volumes without re-architecture - while our embedded team model ensures your internal engineers gain full ownership of the pipelines we build together.
Details
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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.
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Vendor support
Support and Engagement
NeenOpal Inc. is an AWS Advanced Tier Services Differentiated Partner with Data and Analytics Competency, SaaS Competency, multiple AWS Service Deliveries, and FTR-validated solutions.
Contact Support: For professional support, tailored engagement discussions, or questions about your project, reach us at aws_marketplace@neenopal.com .
What to Expect:
- Initial acknowledgment of your inquiry
- A Discovery Call to scope your requirements
- A dedicated point of contact assigned for your engagement
Buyer Responsibilities During Engagement: To ensure smooth delivery, buyers should designate a technical point of contact, provide access to relevant data sources and AWS environments, and be available for milestone reviews and acceptance sign-offs.
Post-Deployment: After deployment, our team provides hands-on training and documentation to ensure your internal staff can operate and maintain the delivered solution independently.
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