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
Signs Your Alteryx Estate May Be Due for Modernization
By Sunil Batchu
/ August 13, 2026
Alteryx comes across as a breath of freshness at the beginning. It enables users to clean data, combine sources, and automate repetitive...
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Why Organizations Are Moving from SAP BOBJ to Power BI
By Sunil Batchu
/ August 10, 2026
Business intelligence tools have evolved over the last decade. Organizations are expecting much more from BI tools than they would have, maybe...
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What to Look for in BI Migration Vendors
By Harish Cholleti
/ August 7, 2026
Migrating to a modern BI tool is a big decision for firms. This can change several metrics for an organization....
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BI Migration Approach: How to Identify Hidden Dependencies Before Migration
By Sparity Inc
/ August 3, 2026
Businesses invest in BI migrations hoping to have a BI tool that saves them time, effort and money. These hopes can shatter when planned...
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Sparity Selected by Global Airline to Migrate Tableau Workbooks to Microsoft Fabric in AI-First Modernization
By Sparity Inc
/ July 31, 2026
Multi-terabyte migration accelerated by Sparity’s proprietary BIPort to establish a unified, AI-ready data estate for one of the world’s largest...
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Sparity Recognized by Microsoft for Excellence in Data, Analytics, and AI Solutions
By Sparity Inc
/ July 22, 2026
We are proud to announce that we have earned the Microsoft Solutions Partner designation for Data & AI (Azure) under...
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Why Enterprises Are Migrating from Tableau to Power BI in 2026: Market Trends, Costs & AI Insights
By Sunil Batchu
/ July 6, 2026
Tableau to Power BI migration is accelerating in 2026 as organizations look to reduce licensing costs, strengthen Microsoft ecosystem integration, and...
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Data Poisoning in AI: The Hidden Threat Sabotaging Enterprise Models
By Taruni Sharma
/ June 5, 2026
Data poisoning has quickly become one of the most discussed risks in AI. As organizations increasingly rely on AI for critical...
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From Cloud Chaos to AI Readiness
By Sparity Inc
/ June 3, 2026
From Cloud Chaos to AI Readiness Download our practical guide for building a successful Azure modernization roadmap. Learn how to...
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Our clients & partners
Jim, CoFounder
By John David
/ July 31, 2024
We reached out to Sparity when sudden business has come our way which need to be delivered under tight deadlines,...
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Bob, Investor
By John David
/ July 31, 2024
I came across Sparity through my well-known friend who was leveraging Sparity engineers for more than a Decade, even I...
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John Smith, CIO
By John David
/ July 31, 2024
Sparity has been outstanding to work with and has been instrumental in getting us onboard, taking care of our security...
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FAQs
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