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
Shadow AI: The Silent Threat Hiding Inside Your Organization
By Sparity Inc
/ May 14, 2026
Your employees are already using AI tools you've never approved. Here's what that means and what to do about it. Shadow AI is the unauthorized...
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Alteryx vs Microsoft Fabric: Why Enterprises Are Making the Switch in 2026
By John David
/ May 7, 2026
Alteryx vs Microsoft Fabric: Alteryx is a capable data preparation tool, but in 2026 its per-user licensing costs, in-memory processing...
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The Real Cost of AI: Why Companies Are Overspending Without Seeing ROI (And How to Fix It)
By John David
/ April 27, 2026
The Hidden Problem: AI Subscription Sprawl AI ROI According to Gartner, spending on AI infrastructure will add $401 billion in spending in 2026 as...
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How a Leading Telecom Enterprise Automated 1,800 Alteryx Workflows to Microsoft Fabric
By John David
/ April 16, 2026
Alteryx Workflows to Microsoft Fabric: telecom enterprise had developed a large analytics environment over time, with nearly 1,800 Alteryx workflows used across...
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Power BI vs Tableau | Key features and Comparison 2026
By John David
/ April 6, 2026
Power BI vs Tableau: Selecting the best data visualization or business intelligence tool is a vital task, this blog offers...
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Fabric 2026 Highlights: Key Takeaways from Microsoft Fabric Conference
By John David
/ March 27, 2026
The Microsoft Fabric 2026 Community Conference 2026 conducted in Atlanta, Georgia, brought together data leaders, BI professionals, engineers, and AI practitioners. ...
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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...
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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...
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What Azure’s Latest Recognition Means for Cloud AI
By John David
/ March 5, 2026
As the bar for Azure cloud AI performance continues to rise, only a few platforms are proving they can meet...
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