Services
Data Engineering Consulting
Build scalable data pipelines, data warehouses, data contracts, and real-time data processing systems on AWS.
📐
Proven Methodology
- •Data Pipeline Design - ETL/ELT workflows with error handling
- •Data Warehousing - Star schemas, dimensional modeling, optimization
- •Data Contracts - Schema validation, SLA enforcement, and contract governance
- •Real-time Processing - Streaming data with Kinesis or Lambda
- •Data Quality - Validation, monitoring, and alerting
- •Lineage Tracking - Build dependency graphs from pipelines to dashboards
- •Multi-Source Integration - Salesforce, databases, APIs, files
- •Scalability - Processing millions of records efficiently
📦
Deliverables
- •Production data pipelines
- •Data warehouse design and implementation
- •Data contract templates and enforcement frameworks
- •Data quality frameworks
- •Lineage and dependency tracking systems
- •Documentation and runbooks
- •Monitoring and alerting setup
🛠️
Tools & Platforms
- •AWS Glue
- •AWS Redshift
- •AWS Lambda
- •Python
- •SQL
- •Spark
- •PostgreSQL
- •AWS Step Functions
Engagement Options
Flexible consulting models tailored to your organization:
- • Strategic advisory retainers
- • End-to-end implementation projects
- • Team enablement and training programs
- • Fractional data & ML leadership
Featured Case Study
Explore how this service delivered measurable outcomes.
Ready to get started with Data Engineering Consulting?
Schedule a consultation to discuss goals, scope, and the impact we can create together.