Navitas Business Consulting, Inc. Tech Stack

Federal and commercial consulting on cloud migration, data platforms, and AI integration

Software Development Herndon, Virginia 51–200 employees Founded 2006 Privately Held

Navitas Business Consulting is a 51–200-person consulting firm built around cloud migration, data governance, and AI systems for federal and commercial customers. The tech stack reveals a polyglot engineering organization (C#/.NET, Python, Java, TypeScript, React, Angular) paired with modern data infrastructure (Kafka, RabbitMQ, Databricks, PostgreSQL, MongoDB). Notably, they are actively replacing .NET and SQL Server while adopting Angular — a strategic modernization that aligns with their active projects in data platforms, ETL pipelines, and .NET stack modernization. The hiring surge (18 roles in 30 days, 70% senior/mid-level engineers) signals execution-heavy scaling on compliance-critical and data-intensive work.

Tech Stack 150 technologies

Core StackPlaywright Postman MuleSoft TypeScript C# Angular JavaScript AWS Docker RabbitMQ Kafka React Vue Node.js Python Java PostgreSQL MySQL MongoDB Kubernetes PeopleSoft NET Core .NET Framework Entity Framework Core Azure xUnit NUnit Jasmine GCP HTML5+120 more

AdoptingAngular

Replacing.NET SQL Server

What Navitas Business Consulting, Inc. Is Building

◆Challenges

Ensuring ai compliance
Minimizing user downtime
Maintaining operational continuity
Modernizing legacy .net stack
Platform stability issues
Improving student engagement
Integrating llms into enterprise workflows
Reducing hallucination rates
Integrating data from enterprise systems
Scaling elt pipelines

▲Active Projects

Enterprise data governance documentation
Enterprise system integration
Data & ai platform with medallion architecture
Data governance and compliance framework
Enterprise systems compliance maintenance
Etl/elt pipelines on databricks
Payment integrity platform modernization
Web experience development
Modernizing .net + sql server stack
Personalized student portals

Hiring Activity

Accelerating20 roles · 20 in 30d

Department

Engineering

Ops

Support

Data

Security

Seniority

Senior

Mid

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About Navitas Business Consulting, Inc.

Navitas Business Consulting, founded in 2006 and headquartered in Herndon, Virginia, is a woman-owned small business providing digital transformation services to federal, commercial, and state/local customers. The firm specializes in cloud migration, data governance, AI integration, cybersecurity, and agile advisory. Current project work spans enterprise data governance frameworks, ETL/ELT pipelines on Databricks, payment integrity platform modernization, and LLM integration into enterprise workflows. The organization operates across multiple cloud providers (AWS, Azure, GCP) and maintains expertise in both legacy system modernization and emerging AI compliance challenges.

HeadquartersHerndon, Virginia

Company Size51–200 employees

Founded2006

Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does Navitas Business Consulting use?

Primary languages: C#, Python, TypeScript, Java. Frameworks: .NET Core, .NET Framework, Angular, React. Data: Kafka, RabbitMQ, Databricks, PostgreSQL, MySQL, MongoDB. Cloud: AWS, Azure, GCP, Kubernetes, Docker. Testing: xUnit, NUnit, Jasmine.

What is Navitas Business Consulting working on?

Active projects include data governance frameworks, ETL/ELT pipelines on Databricks, enterprise system integration, payment integrity platform modernization, LLM integration, and .NET stack modernization. Addressing challenges in AI compliance, reducing LLM hallucination, and scaling data pipelines.

How this profile is built

Navitas Business Consulting, Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.