Unleash the power of analytics through
modern data engineering
We enable modern data engineering through integration of various data sources, creation of hybrid data lakes and warehouses and fully operationalized data pipelines to support data driven innovations.
At Sparity, we believe that data engineering is the enabler for data science. Data science consists of AL & ML models and experimentations. They can be developed only when we have a solid data infrastructure, which is possible through data engineering processes like collection, storage and transformation.
We can help you build this framework and use the power of data to reduce operational costs, discover new revenue sources and create new products. Our proven processes ensure all data, internal or external move from identification to storage without losing granularity and value.
Our approach
Data ingestion
We study the different data sources – right from files and data bases to logs and images. At this stage, the objective is to ensure we don’t lose out on any critical information. We collect, aggregate and move all types of data to one central location.
Data transformation & processing
We need to ensure that integrity of the data is maintained while achieving consistency. Data from different sources is transformed and aggregated in a way that it maintains a central data architecture.
Data storage
All the data is now moved into data lakes and data warehouses using on premise or cloud or hybrid architecture.
Data Governance
Effective Standards and Policies to monitor and control usage of data.
Our Offerings
Consulting
- Data Maturity Assessment
- Data Consolidation Strategy
- EDW Roadmap
- Cloud Adoptions Strategy
Design
- Data Warehouse Architecture
- Data Pipelines (SQL & No-SQL)
- Data Lakes and Analytical Sand Boxes
- Cloud Architecture(AWS, Azure,GCP..)
Implementation
- EDW Implementation and Maintenance
- Cloud Migration
- Maintain Data Pipelines for ML
- Data Model Support/Update
Data Engineering Technologies we work with
Data ingestion
storage
processing
ETL
Insights
Fabric 2026 Highlights: Key Takeaways from Microsoft Fabric Conference
By John David
/ March 27, 2026
The Microsoft Fabric Community Conference 2026 conducted in Atlanta, Georgia, brought together data leaders, BI professionals, engineers, and AI practitioners. FABCON...
Read More
Sparity Showcases BI Modernization and AI Innovation at FABCON 2026
By John David
/ March 25, 2026
Atlanta, US – March 19-20, 2026: At this year’s FABCON, Sparity made a strong impact by bringing together innovation, expertise, and real-world...
Read More
Sparity at FABCON 2026- Microsoft Solution Partner
By John David
/ March 5, 2026
Driving the Future of Intelligent BI Automation Sparity is excited to announce its participation at FABCON 2026, taking place from March 16–20, 2026 at...
Read More
What Azure’s Latest Recognition Means for Cloud AI
By John David
/ March 5, 2026
As the bar for cloud AI performance continues to rise, only a few platforms are proving they can meet it...
Read More
How Agentic AI on Databricks Are Revolutionizing Enterprise Automation
By John David
/ February 24, 2026
With the rise of agentic AI on Databricks, organizations are moving away from, human-triggered workflows toward systems that can reason,...
Read More
Sparity at India- AI Impact Summit 2026
By John David
/ February 23, 2026
AI Impact Summit 2026 New Delhi played host to one of the most awaited technology gatherings of the year as leaders, policymakers, innovators, and...
Read More
Data Security Posture Management
By John David
/ February 13, 2026
The term “DSPM” gained formal recognition when Gartner highlighted DSPM as a new security category in 2022, describing it as a way to...
Read More
Microsoft Fabric Adoption Blueprint
By John David
/ February 2, 2026
The Executive's Guide to Microsoft Fabric Adoption Unlock Unified Analytics and AI-Powered Insights Without Disrupting Operations. Stop drowning in data...
Read More
The CIO’s Guide to Risk-Free BI Modernization (Checklist)
By John David
/ February 2, 2026
The CIO’s Guide to Risk-Free BI Migration (Checklist) Stop relying on legacy systems that stall decision-making. Download the 12-step framework...
Read More