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Featured Case Studies

Hadoop to Databricks Migration – Healthcare
Data Governance Platform and Program
CCPA & Data Compliance

Here is a Sampling of Our Projects

CCPA & Data Compliance
Project Type : CCPA Compliance Framework
Business Need : Create a comprehensive solution to handle CCPA related requests for end customers
Solution : An end-to-end solution including customer request entry portal and a complex request orchestration workflow. It also included an automated mechanism for data retrieval and deletion across multiple platforms.
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Results : Delivered a complete solution in less than 3 months which addressed all aspects of the CCPA mandate. Customers were able to put in their requests for data information and deletions as well as opt outs as soon as the law was in effect
Infrastructure and environment : : Python, Databricks Spark, Azure Kubernetes, Azure Libraries, SQL Server
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Analytics Product
Project Type : Traditional Analytics Product
Business Need : Create architecture and design for an entire analytics subsystem for ACI’s marquee product – Universal Payments
Solution : Built the architecture and design for a sustainable and scalable reporting system for a multi-tenant, best of the class cloud bases product in 6 weeks
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Results : Delivered a complete solution in less than 3 months which addressed all aspects of the CCPA mandate. Customers were able to put in their requests for data information and deletions as well as opt outs as soon as the law was in effect
Infrastructure and environment : : Oracle, DB2, SQL Server, Jaspersoft, Power BI, Redis, ETL
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Data Science Platform Build
Project Type : Big Data and Data Science
Business Need : Create architecture and design for an entire analytics subsystem for ACI’s marquee product – Universal Payments
Solution : Build and maintain highly available, customized and scalable big data cluster with all the necessary tools for data/knowledge workers to execute various jobs.
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Results : Built and continuing to mature data lake with multiple domains; machine learning workloads and spark workload
Infrastructure and environment : : Hadoop, Jenkins, Gitlab, Docker
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Data Governance Platform and Program
Project Type : Data Governance
Business Need : Design and build Data Governance platform to be used by the entire company. This is the first ever DG initiative, built and run company wide
Solution : Started with data discovery and classification. A comprehensive tool selection exercise followed. Picked Collibra as tool of choice. Stood up the environment, built Collibra operating model. Built Mule flows for data ingestion and created lineage along with data categorization
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Results : Fully operational Data Governance platform was built from ground up. Ingested and built lineage for thousands of data assets. Built processes and procedures around Data Governance. Ongoing projects to add additional use cases
Infrastructure and environment : : Collibra, Mulesoft, Python, Azure Databricks
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Jaspersoft
Project Type : Big Data and Data Science
Business Need : Integrating visually appealing reports and dashboards to increase usability of the banking application was the key for this customer. The solution needed to be sustainable and grow with the rest of the product line.
Solution :

Data Ninjas helped identify clear business drivers for this customer. Once the business drivers were identified, Ninjas went to work to identify technical requirements for a proof-of-concept.

The POC involved creating reports and dashboards using Jaspersoft and integrating them with core UI elements using visualize.js to conform to the exact look and feel of the application.

Once, the POC was complete, the customer was ready to move forward with the implementation with best practices helping them

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Microsoft
Project Type : Full BI/DW Lifecycle Implementation
Business Need :

Rpapidly growing healthcare organization needed quick ramp up to fulfill business demands for data and analytics. A trusted core of the data and analytics platform had to be built in a short time.

The same platform needed to support multi-tenant file management system for sharing healthcare data across providers/insurers/third parties

Solution :

Data Ninjas provided solution architecture services to start the project. Key goals were idenfied and shortrun timeframes were established

Using Agile methodology, four week sprints were planned and executed thereby delivering trusted data using the right archiecture methodology and bite-size chunks.

Ninjas also helped with establishment and running of data governance program for this customer

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ERP Reports Migration
Project Type : Reporting
Business Need : Recreate Oracle Reports Using Jaspersoft. Nearly 80 reports had to be migrated/re-created in Jaspersoft to comply with the ERP upgrade.
Solution : Templates for reports were created. Basic report design was agreed upon with the customer. Data access was provisioned and all report queries were standardized
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Results : Nearly 80 reports were migrated/converted and unit tested and ready for user acceptance testing in a matter of 2-3 weeks
Infrastructure and environment : : Jaspersoft, Oracle DB
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Hadoop to Databricks Migration – Healthcare
Project Type : Modernizing Big Data Infrastructure with Azure Databricks
Business Need : A leading enterprise in the Healthcare/FinTech sector was operating a 100+ node on-premise Hadoop cluster to support their big data workloads, including customer analytics, network performance tracking, and operational reporting. The legacy setup was expensive to maintain, lacked elasticity, and created bottlenecks in data processing and insight delivery. The company needed a modern, cloud-native platform that could improve performance, reduce infrastructure overhead, and accelerate time-to-insight for advanced analytics and AI use cases.
Solution : Data Ninjas designed and implemented a comprehensive migration strategy to move the client’s Hadoop ecosystem to Azure Databricks. The solution included: Assessment and cataloging of all Hive tables, Spark jobs, and workflows Automated conversion and optimization of Spark workloads for Databricks Migration of data from HDFS to Azure Data Lake Storage Gen2 with Delta Lake support Integration with Azure Data Factory for orchestrating data pipelines Implementation of Unity Catalog for secure data access and governance Enablement of MLflow and Databricks AutoML for future AI/ML workloads Training and knowledge transfer sessions for the client’s engineering team
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Results : 3x faster execution of data pipelines and analytics workflows Improved reliability, scalability, and SLA compliance across data operations Enhanced data governance and lineage tracking via Unity Catalog Increased agility for data scientists to experiment and operationalize models
Infrastructure and environment : : Source: 100+ node on-premise Hadoop cluster running Spark, Hive, and HDFS Target: Azure Databricks with Premium SKU Storage: Azure Data Lake Storage Gen2 with Delta format Orchestration: Azure Data Factory and Databricks Workflows Security & Governance: Unity Catalog, Azure Key Vault integration, role-based access control
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Transforming Data Governance Strategy for a Leading Convenience Retailer
Project Type : Data Governance Implementation
Business Need : Inconsistent Data Standards: Data definitions and quality varied across regions, causing inefficiencies in reporting and analytics. Compliance Risks: Increasing regulatory requirements, including GDPR and CCPA, made data privacy and security compliance difficult to maintain. Lack of Centralized Governance: Data was siloed in multiple systems, and governance policies were not uniformly applied across business units. Low Data Trust: Decision-makers lacked confidence in the data due to poor quality, duplication, and unclear ownership.
Solution : Current State Assessment We conducted a detailed audit of the client’s data landscape, assessing data quality, data flows, governance practices, and regulatory compliance gaps. This involved workshops with key stakeholders to identify pain points and business priorities. Data Governance Framework Design We designed a centralized data governance framework based on industry best practices. This included: Standardized Data Definitions to ensure consistency across regions. Clear Data Ownership and Stewardship Roles for accountability. Policies for Data Quality, Privacy, and Security to ensure ongoing compliance. Compliance and Privacy Roadmap We developed a roadmap for ensuring ongoing compliance with global data privacy regulations (GDPR, CCPA, and others). This included processes for data classification, access controls, and audit trails. Change Management and Training To ensure adoption, we rolled out a change management program, providing training for data stewards, analysts, and leadership on the new governance policies and practices.
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Results : Improved Data Quality: Standardized data definitions reduced errors and duplication by 45%. Enhanced Compliance: Achieved compliance with GDPR and CCPA regulations, reducing regulatory risk. Centralized Governance: A unified governance framework streamlined data processes across all business units. Increased Data Trust: Stakeholder confidence in data improved significantly, accelerating data-driven decision-making.
Infrastructure and environment : : Collibra and a wide array of data sources
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2025