Custom data architecture for unique requirements
Data engineering services for companies with custom data needs: ETL/ELT pipelines, data warehouses, real-time processing, and API integrations. Built with AI, so it is live in days rather than months.
- Fixed price
- from $200
- Delivery
- 2 to 10 working days
- Billing
- Agreed before work starts
- If not live in 10 working days
- We work for free
Custom engineering or a platform tool?
Choose custom data engineering if
- Unique data sources (proprietary systems, no pre-built connectors)
- Complex transformations (custom business logic)
- Real-time requirements (sub-minute updates)
- High volume (millions of rows, TBs of data)
- Compliance needs (HIPAA, GDPR, SOC 2)
- Custom architecture (specific requirements platforms can't meet)
Use platform tools if
- Standard data sources (CRM, accounting, e-commerce: pre-built connectors exist)
- Simple transformations (basic calculations, aggregations)
- Batch processing OK (daily/hourly updates sufficient)
- Moderate volume (under 10M rows)
- Budget-conscious (platforms cheaper than custom)
Data engineering capabilities
- ExtractData from any source.
- TransformWith your business logic.
- LoadTo the warehouse, batch or real time.
- Bronze, Silver, GoldLayers optimized for analytics and reporting.
ETL/ELT pipelines
Extract data from any source, transform with business logic, load to warehouse. Batch or real-time processing with incremental loads.
Data warehouse architecture
Medallion architecture (Bronze, Silver, Gold layers). Staging, integration, and presentation layers optimized for analytics and reporting.
Real-time streaming
Sub-second to few-second latency. Kafka, Spark Streaming, AWS Kinesis, Azure Event Hubs for IoT, clickstream, and live data processing.
API integrations
Custom connectors for proprietary systems, legacy databases, and third-party APIs. Handle authentication, rate limiting, and error recovery.
Data quality and governance
Validation rules, duplicate detection, anomaly alerts, data lineage tracking, catalog documentation, and compliance (GDPR, HIPAA).
Cloud-native architecture
AWS, Azure, or Google Cloud deployment. Scalable, high-availability, disaster recovery, auto-scaling, and multi-region support.
Technologies we use
Modern cloud-native stack for scalable, reliable, and maintainable data infrastructure.
Cloud platforms
- AWS: S3, Redshift, Glue, Lambda, Kinesis
- Azure: Data Lake, Synapse, Data Factory
- Google Cloud: BigQuery, Dataflow
ETL/ELT tools
- Apache Airflow (orchestration)
- DBT (transformation)
- Fivetran
- Stitch
- Custom Python/Spark
Databases
- OLTP: PostgreSQL, MySQL, SQL Server
- OLAP: Snowflake, BigQuery, Redshift
- NoSQL: MongoDB, Cassandra
Programming
- Python (pandas, PySpark)
- SQL (transformations)
- Scala (Spark jobs)
Data engineering packages
Three sizes, each with a fixed price range and a fixed delivery time. We confirm the exact figure in writing before work starts.
Pipeline Starter
Standard ETL needs, batch processing (3-5 data sources, moderate complexity)
- Data warehouse design
- ETL pipeline development (3-5 sources)
- Batch processing (daily/hourly refresh)
- Basic data quality rules
- Error handling and logging
- Documentation
- 30-day support
Pipeline Professional
Complex transformations, multiple sources (5-10 data sources, high complexity)
- Everything in Starter, plus:
- Data warehouse (5-10 sources)
- Complex transformations and business logic
- Incremental data loading
- Data quality framework
- Real-time streaming (if needed, 1-2 sources)
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- API integration development
- Disaster recovery and backup
- Data governance setup
- 60-day support
Pipeline Enterprise
Enterprise data platform, real-time needs (10+ data sources, very high complexity)
- Everything in Professional, plus:
- Unlimited data sources
- Real-time streaming architecture
- Advanced data quality and governance
- Machine learning pipeline integration
- High availability and auto-scaling
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- Multi-region deployment
- Advanced security and compliance
- Dedicated data engineer (3-6 months)
- DevOps and CI/CD pipelines
- 90-day support + quarterly optimization
Fixed scope, fixed price, fixed date. Live in 10 working days, or we keep working for free.
Ready for custom data engineering?
Schedule a data engineering consultation. We'll discuss your data sources, transformation requirements, and architecture approach.
No obligation. Live in 10 working days, or we keep working for free.