Data strategy & architecture
- Data maturity assessment and gap analysis
- Target architecture design (cloud-native, hybrid, or multi-cloud)
- Technology selection and platform roadmap
- Business case with projected ROI and implementation timeline
Data platforms modernization for a unified foundation
We build lakehouse architectures on Databricks, Snowflake, and Microsoft Fabric, unifying fragmented data into a single source of truth that’s governed, scalable, and AI-ready.
Our offerings
Lakehouse architecture & implementation
- Databricks Lakehouse (Delta Lake, Unity Catalog)
- Microsoft Fabric (OneLake, Lakehouse, Warehouse workloads)
- Snowflake (Data Cloud, Iceberg tables, Snowpark)
- Multi-cloud and cross-cloud deployments
Data engineering & pipeline development
- ETL/ELT pipeline development (batch and real-time)
- Data ingestion from diverse sources (databases, APIs, SaaS, IoT)
- Data transformation, cleansing, and standardization
- Orchestration with Apache Airflow, Azure Data Factory, AWS Glue
Data governance & quality
- Data cataloging and lineage (Unity Catalog, Purview)
- Data quality rules, monitoring, and observability
- Master Data Management (MDM)
- Data classification, tagging, and policy enforcement
Data migration & modernization
- Legacy to modern platform migration (SAP, Oracle, Teradata, Synapse)
- On-prem to cloud migration
- Cross-platform migration (e.g., Synapse → Databricks, Teradata → Snowflake)
- Zero-downtime migration strategies
DataOps for continuous delivery
- CI/CD pipelines for data infrastructure (IaC with Terraform)
- Automated testing and validation
- Pipeline monitoring and alerting
- Version control for data assets
Platform expertise
We work across all major data platforms, and we’re architecture-led, not platform-led. We recommend what’s best for your business.
-
Databricks
- Lakehouse architecture
- Delta Lake optimization
- Unity Catalog governance
- ML/AI enablement with MLflow
- Migration from SAP/Oracle/Synapse to Databricks
-
Microsoft Fabric
- OneLake-based architectures
- Power BI Premium to Fabric migration
- DirectLake models
- Lakehouse + Warehouse workloads
- Purview governance
- Tenant-to-tenant migrations
-
Snowflake
- Data Cloud implementation
- Snowpark development
- Cortex AI integration
- Migration from legacy warehouses
- Cross-cloud deployments
Why choose Singularity
for data platforms
01
Architecture-led, not platform-led
We recommend what’s best for your business, not what fills partner quotas. Our decisions are driven by your data, your use cases, and your goals.
02
Production-minded from day 1
We don’t build prototypes. We build production-grade data platforms with scalability, reliability, and governance baked in from the start.
03
Continuous intelligence
Your data platform isn’t a one-time deliverable. We build for continuous improvement, monitoring, optimization, and evolution over time.
Gravity-backed execution
Backed by Gravity Infosolutions’ 300+ customers and 400+ projects, we have the enterprise delivery capability to execute at scale.
Proudly serving leading brands
around the globe
Business outcomes to expect.
AI-ready
Data built for AI
AI-ready data, governed, real-time, and consumable by analytics and AI.
50%+
Faster delivery
Faster delivery with accelerator-led modernization.
30-40%
Lower cloud spend
Reduction in total cloud data spend through consolidation.
Trusted
Less fragmentation
Reduced data fragmentation and improved trust in data.
Real-time
Governed and available
Real-time, governed data available for decision-making.
Latest insights
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Ready to build your data foundation?
Your AI is only as good as the data it runs on. Let’s build a data platform that’s unified, governed, and AI-ready.