What does a data engineering company do?

A data engineering company designs and implements the systems that collect, clean, move, and prepare data for analytics and business intelligence — pipelines, warehouses, governance, and dashboards. Kalpita delivers this end to end, from legacy migration to Power BI reporting.

How is cloud data engineering different from traditional data management?

Cloud data engineering uses scalable, secure platforms like Azure or AWS instead of fixed on-prem infrastructure — meaning elastic capacity, lower maintenance, faster processing, and native integration with AI services. Our Informatica-to-ADF migration cut a client's package count by more than half while improving error handling.

What are the benefits of data engineering for my business?

Decisions you can trust, made faster: validated data quality, automated pipelines that remove manual reconciliation, and dashboards that surface answers in real time. Documented client outcomes include 78% faster vendor onboarding and 60% faster report loads.

Does data engineering prepare us for AI?

Directly — AI is only as good as the data feeding it. Clean pipelines, governed quality, and a modern lakehouse architecture are the prerequisites for RAG systems, predictive models, and AI-augmented analytics. We build the foundation and the AI layer. Explore AI as a Service →

Which BI and analytics tools do you work with?

Power BI is our deepest practice — including testing and migration from Cognos and similar legacy tools — alongside SSAS, Azure Synapse, and Fabric. Verified delivery includes 40+ optimised reports for multi-company finance teams.

How do you keep our data secure during migration?

SOC 2-certified processes, role-based access, encrypted transfer, and validation that matches source to destination record by record — the same data-matching discipline we run for NFP's reporting. Governance via Azure Monitor and Purview keeps it secure after go-live too.

Data Engineering Services That Transform Raw Data into Business Intelligence

Kalpita Technologies delivers end-to-end data engineering services — data migration, ETL pipeline development, Power BI reporting, and governance — for enterprises in the USA and India. Your teams don't lack data. They lack answers they can trust at the moment of decision. We build the pipelines, warehouses, and dashboards that close that gap — proven by results like 78% faster vendor onboarding and 60% faster report loads.

Transform Your Data into a Strategic Advantage

At Kalpita Technologies, we specialise in cloud data engineering, ETL pipeline development, and big data solutions that let enterprises unlock real business potential — with data that is accurate, governed, and ready for AI.

Benefits of our data engineering services:

Reliable Data Migration — move from legacy systems to modern cloud platforms with zero disruption
Optimized Data Processing — SSIS, ADF, and ADF Dataflows automating and accelerating data movement
Powerful Analytics & Reporting — decision-ready Power BI dashboards and SSAS analytics
Enhanced Data Accuracy — every decision backed by clean, validated, high-quality data
Future-Ready Data Ecosystem — a modern foundation that supports AI, ML, and advanced analytics from day one

How Kalpita Builds Your Scalable Data Ecosystem

Data Discovery & Assessment

We analyze your existing systems, data quality, and goals.

Architecture Design

A scalable, secure, cost-efficient architecture using Azure Data Factory, SSIS, and Databricks.

Data Migration & Integration

We unify data across sources while preserving consistency and integrity.

ETL & Pipeline Development

Automated Extract-Transform-Load workflows engineered for accuracy and speed.

Analytics & Visualization

Power BI dashboards and SSAS-driven analytics that decision-makers actually use.

Optimization & Support

Continuous monitoring, tuning, and governance at peak performance.

Why Leading Enterprises Choose Kalpita as Their Data Engineering Partner

Proven Expertise

Years of combined experience in data engineering consulting and enterprise data modernization — including NFP's Power BI reporting with full source-to-destination data matching.

End-to-End Solutions

From migration through analytics and BI — the full lifecycle, one accountable team. AI-first in practice: 70%+ of our engineering is AI-enabled, so your data foundation is ready for AI from day one.

Industry-Focused Approach

Documented success across Insurtech, Fintech, Healthcare, E-commerce, and Hi-Tech domains.

Security & Compliance

SOC 2 certified, with enterprise-grade data protection and governance standard on every engagement. Proof you can verify: SOC 2 (AICPA) and ISO certified, Clutch 4.7, Google 4.7.

Our Comprehensive Data Engineering Service Offerings

Data Migration Services – legacy or on-prem to cloud, without business interruption.

Data Processing (SSIS, ADF, Dataflows) – automated transformation pipelines built for speed and reliability.

Power BI Reporting – interactive dashboards that put answers in front of the right people.

Advanced Analytics (SSAS, Azure Fabric, Lakehouse) – deeper intelligence on modern data architecture.

Data Governance & Quality Management – accuracy, consistency, and security across all data assets.

Tools and Technologies We Use for Data Engineering

Category	Stack
ETL & Integration	SSIS, Azure Data Factory, Databricks, Fabric
Cloud Platforms	Microsoft Azure, AWS, Google Cloud
Analytics & BI	Power BI, SSAS, Azure Synapse
Data Storage	SQL Server / Azure SQL, Cosmos DB, Fabric Lakehouse/Warehouse
Programming & Scripting	Python, SQL, Spark
Monitoring & Governance	Azure Monitor, Purview

Real Results from Our Data Engineering Solutions

2020

ETL Migration Done Right

Migrated a client's legacy Informatica ETL to Azure Data Factory — cutting high maintenance costs and consolidating 50+ ETL packages into fewer than 20 streamlined pipelines with stronger error handling.

Data Engineering Services That Transform Raw Data into Business Intelligence

Transform Your Data into a Strategic Advantage

How Kalpita Builds Your Scalable Data Ecosystem

Data Discovery & Assessment

Architecture Design

Data Migration & Integration

ETL & Pipeline Development

Analytics & Visualization

Optimization & Support

Why Leading Enterprises Choose Kalpita as Their Data Engineering Partner

Proven Expertise

End-to-End Solutions

Industry-Focused Approach

Security & Compliance

Our Comprehensive Data Engineering Service Offerings

Our Technology Stack for Enterprise-Grade Solutions

FRONT END

BACK END

AI & ML

DATABASE

MOBILE APPS

DEVOPS

QA

CLOUD

Tools and Technologies We Use for Data Engineering

Real Results from Our Data Engineering Solutions

ETL Migration Done Right

Frequently Asked Questions

Your data already knows the answer.

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