Data Pipeline & ETL Data Warehousing ServicesBuild efficient pipelines and automate data ingestion for faster insights
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Integrate data from multiple sources and reduce data latency with ETL Data warehousing service
To overcome the challenges posed by data silos, Sigmoid’s data pipeline services help to automatically ingest, process, and manage huge volumes of data from diverse sources. We have built over 5000 data pipelines, improved query performance and empowered organizations with faster data access and near real-time visibility to insights. Leveraging our expertise in the end-to-end data engineering ecosystem and open-source technologies, we build flexible ELT solutions by writing cloud-native code. In addition to hand coding data pipelines, Sigmoid builds data pipelines using a combination of no-code, low-code tools and automation.
End to End data pipeline development and management services
Connect siloed data sources faster with our proven frameworks.
Automate ingestion and data processing from diverse sources.
Efficiently process data for real-time reporting and insights.
Migrate to the right cloud infrastructure at optimal cost.
Improve query performance and enhance scalability.
Get robust data lineage, security and compliance.
Customer success stories
80% performance improvement with scalable data pipelines in an Azure data platform for leading retail data vendor
- 35% YoY cost savings
- 83% reduction in execution time of Spark transformation
- Enhanced reporting and 80% performance improvement
Enhanced trade surveillance and regulatory compliance with 4x faster, efficient data pipelines for a global investment bank
- Processed 100 MN rows of asset class and market data daily
- 65% reduction in false alerts
- Quicker surveillance results
Centralized data lake with automated data ingestion from 30+ sources to enable faster marketing analytics for a major F&B brand
- Automatically ingested data from 30+ sources
- 50% faster data collection and enrichment
- 2.5x faster time to insights for marketing team
Our other offerings in data engineering
Strengthen ML model lifecycle management and accelerate the time to business value for AI projects with robust ML engineering services.
Modernize, migrate, and optimize cloud data performance with agility and reliability for optimal performance and data quality.
Managed services to help you automate end-to-end enterprise data infrastructures for agility, high availability, better monitoring, and support.