Data Engineering That Enables Better Decisions

Modern organizations depend on accurate, accessible, and timely data. However, many businesses struggle with disconnected systems, inconsistent reporting, duplicate records, and complex data pipelines that limit business visibility.

At Kirat IT Solutions, we help organizations move beyond fragmented data environments by creating modern platforms that centralize information, improve data quality, and enable trusted analytics.

Our engineering-first approach ensures your data is prepared not only for today's reporting requirements but also for tomorrow's AI and advanced analytics initiatives.

Our Data Engineering Services

• Enterprise Data Architecture

A successful data strategy begins with a well-designed architecture.

We work with business and technology teams to define scalable data models that support operational reporting, self-service analytics, regulatory compliance, and AI adoption.

Our services include:

• Enterprise Data Architecture

• Data Modeling

• Information Architecture

• Reference Architecture

• Metadata Management

• Data Lifecycle Planning

Data Warehousing

Centralize enterprise data into a trusted repository that supports reporting, analytics, and executive decision-making.

Our data warehouse services include:

• Data Warehouse Design

• Dimensional Modeling

• Data Mart Development

• Historical Data Management

• Performance Optimization

Security & Access Control

We build warehouses that deliver fast, consistent, and reliable access to business information.

• Data Lake & Lakehouse Solutions

As organizations manage increasing volumes of structured and unstructured data, modern lakehouse architectures provide the flexibility needed to support analytics and AI.

Our capabilities include:

• Data Lake Design

• Lakehouse Architecture

• Data Catalogs

• File Storage Optimization

• Data Governance

• Multi-Cloud Data Storage

• Big Data Processing

ETL & ELT Development

Reliable data pipelines ensure information flows efficiently across enterprise systems.

Our services include:

• Data Extraction

• Data Transformation

• Data Loading

• ELT Pipelines

• Workflow Automation

• Incremental Data Loads

• Data Validation

Pipeline Monitoring

We develop automated pipelines that reduce manual intervention while improving reliability and scalability.

Data Integration

Enterprise data originates from multiple sources. We integrate data across:

• SAP S/4HANA

• SAP ECC

• SAP SuccessFactors

• CRM Platforms

• Finance Systems

• Manufacturing Systems

• IoT Devices

• Cloud Applications

• Third-Party APIs

Legacy Systems

This creates a unified and trusted view of business information.

• Master Data Management

Consistent master data is essential for operational efficiency and accurate reporting.

Our Master Data Management (MDM) services include:

• Customer Master

• Vendor Master

• Material Master

• Product Master

• Data Standardization

• Duplicate Detection

• Governance Policies

• Data Stewardship

• Data Governance & Quality

High-quality analytics require high-quality data.

We help organizations establish governance frameworks that improve trust, compliance, and consistency.

Our services include:

• Data Quality Assessments

• Data Cleansing

• Validation Rules

• Metadata Management

• Data Lineage

• Access Controls

• Compliance Reporting

• Governance Frameworks

Platforms & Technologies

We work with modern enterprise data technologies to build scalable and future-ready platforms.

Microsoft Data Platform

• Microsoft Fabric

• Azure Data Factory

• Azure Synapse Analytics

• Azure Data Lake Storage

• Azure SQL Database

• SAP Data Platforms

• SAP Datasphere

• SAP BW/4HANA

• SAP HANA

• SAP Data Intelligence

• Modern Data Platforms

• Snowflake

• Databricks

• Google BigQuery

• Amazon Redshift

• Data Processing

• Apache Spark

• Apache Kafka

• Python

• SQL

• PySpark

• Databases

• PostgreSQL

• SQL Server

• Oracle

• MySQL

• MongoDB

Our Data Engineering Framework

• Discover

Understand business objectives, existing systems, reporting requirements, and future growth plans.

Deliverables:

• Current-State Assessment

• Data Source Inventory

• Business Use Cases

• Data Strategy

Design

Create scalable architectures that support analytics, AI, and operational reporting.

Deliverables:

• Data Models

• Integration Architecture

• Governance Framework

• Security Model

Build

Develop pipelines, warehouses, lakehouses, and integration services using modern engineering practices.

Activities include:

• Data Ingestion

• ETL/ELT Development

• Data Transformation

• Automation

• Testing

Validate

Ensure reliability through:

• Data Reconciliation

• Data Quality Testing

• Performance Testing

• Security Validation

• User Acceptance Testing

Deploy

Launch production-ready platforms with monitoring, governance, and operational controls.

• Optimize

Continuously improve platform performance, pipeline reliability, data quality, and operational efficiency.

Kirat Data Foundation Framework™

Our framework helps organizations turn fragmented information into governed, AI-ready data assets.

Connect

Bring data together from enterprise and external systems.

Organize

Structure, cleanse, and standardize data.

Govern

Apply quality, security, lineage, and compliance controls.

Enable

Deliver trusted data for reporting, analytics, and self-service.

Innovate

Support AI, machine learning, automation, and predictive insights.

Everything starts with data engineering. Without reliable, governed, high-quality data, analytics and AI cannot deliver meaningful business value.

Why Choose Kirat?

Building a modern data platform requires expertise in architecture, integration, governance, and cloud technologies.

Organizations choose Kirat because we provide:

• End-to-end data engineering capabilities

• Strong SAP integration expertise

• Cloud-native architectures

• Scalable engineering practices

• Security and governance by design

• Automation-first approach

• Flexible delivery models

• Long-term managed services

Business Outcomes

Our Data Engineering services help organizations:

• Eliminate data silos

• Improve data quality

• Accelerate reporting

• Enable real-time analytics

• Reduce manual data processing

• Support AI initiatives

• Improve regulatory compliance

• Strengthen data governance

• Lower operational costs

• Build scalable enterprise data platforms

Industries We Serve

Our Data Engineering expertise supports organizations across:

• Manufacturing

• Retail & Consumer Goods

• Banking & Financial Services

• Insurance

• Healthcare & Life Sciences

• Energy & Utilities

• Logistics & Transportation

• Technology

• Telecommunications

• Public Sector

Frequently Asked Questions

What is the difference between a data warehouse and a data lake?

A data warehouse is optimized for structured reporting and business intelligence, while a data lake stores both structured and unstructured data at scale. Many organizations now adopt a lakehouse architecture that combines the strengths of both.

Can you integrate SAP data with other enterprise systems?

Yes. We specialize in integrating SAP with CRM platforms, finance applications, manufacturing systems, cloud services, IoT platforms, and third-party applications to create unified enterprise data platforms.

Which cloud platforms do you support?

We work across Microsoft Azure, AWS, Google Cloud Platform, SAP Datasphere, Snowflake, Databricks, Microsoft Fabric, and other modern data technologies.

Do you provide ongoing platform support?

Yes. We offer managed services that include pipeline monitoring, platform maintenance, data quality improvements, governance, performance optimization, and continuous enhancements.