GCC · Data Services

Turn Data into Action with AI & Integration

Need to enhance interoperability, optimize data management, or gain deeper business intelligence for your Startup or Enterprise?

HiPaaS can deliver scalable, high-performance solutions for data warehousing, BI, interoperability, and AI-powered analytics.

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70%lower cost
24/7data ops
100%AI-ready
Data Engineering
Data Warehousing & BI
AI-Powered Analytics
FHIR, HL7 & EDI Integration
Real-Time Data Processing
Our Data Services

Modern data services for analytics, AI and interoperability.

From conversion and quality validation to real-time processing and AI analytics, HiPaaS helps organizations transform complex data into trusted, usable business intelligence.

Data Conversion & Transformation

Convert large volumes of EDI, HL7, FHIR, XML, JSON, CSV, legacy, and proprietary data formats into clean modern structures for migration, integration, and modernization.

Data Engineering Outsourcing

Scale faster with expert data engineering teams and reduce delivery overhead through flexible GCC staffing and managed data delivery models.

AI-Powered Analytics

Use Python, R, TensorFlow and PyTorch to apply ML, NLP, predictive analytics, and intelligent models for faster business decisions.

Databricks Staffing

As a Databricks partner, we provide skilled engineers who accelerate lakehouse initiatives, data pipelines, and enterprise analytics platforms.

Data Warehousing & BI

Store, manage, and analyze large datasets with Redshift, Snowflake, BigQuery, Azure Synapse, Power BI, Tableau, and Looker.

Master Data Management

Centralize key entities, improve governance, and create a single source of truth with Informatica MDM, SAP MDG, Profisee, and Talend MDM.

Data Quality & Validation

Improve accuracy and compliance with automated profiling, cleansing, deduplication, anomaly detection, and validation using modern quality tools.

Seamless Interoperability

Enable reliable exchange across platforms with FHIR, HL7, EDI, APIs, cloud integrations, batch processing, and event-driven architectures.

Real-Time Data Processing

Stream, process, and transform data in real time using Apache Kafka, Apache Flink, AWS Kinesis, and Google Dataflow.

Platforms & Tools

Technology coverage across the full data stack.

Data Platforms

Databricks, Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse

Big Data

Apache Hadoop, Spark, Cloudera, Google Cloud Dataproc

Streaming

Kafka, Flink, AWS Kinesis, Google Dataflow

AI & Analytics

Python, R, TensorFlow, PyTorch, machine learning and NLP

Healthcare Data

HL7, FHIR, EDI X12, Epic, Cerner and healthcare APIs

Visualization

Power BI, Tableau, Looker and predictive dashboards

Turn Data Into Business Value

Modernize your data platform for AI-ready growth.

Accelerate analytics, improve governance, and connect healthcare and enterprise data across cloud, lakehouse, warehouse, and real-time processing platforms.