KANINI Tech Stack

Product engineering, data platforms, and ServiceNow services for enterprises

Software Development Nashville, Tennessee 501–1,000 employees Founded 2003 Privately Held

KANINI is a mid-market digital services firm built around product engineering, data analytics, and enterprise automation. The hiring momentum (8 roles posted in the last 30 days across data and engineering) combined with active projects on AI agents, data pipeline architecture, and infrastructure automation suggests a push toward data-intensive and AI-capable delivery. The tech stack—spanning .NET/C#, Python, Apache Airflow, dbt, Snowflake, and multi-cloud (Azure, AWS, GCP)—reflects a services business scaling across modernization and analytics use cases.

Tech Stack 74 technologies

Core StackC# Angular React Node.js Python Apache Airflow dbt Snowflake Azure Data Factory Power BI SQL Server BigQuery Apache Spark Java Looker AWS NET Core Streamlit Replit Copilot Studio Azure Synapse Cloud Dataflow Dataproc Cloud Composer Pub/Sub Apache Beam SQL Windsurf Azure GCP+40 more

AdoptingTerraform Deployment Manager MCP

What KANINI Is Building

◆Challenges

Ensuring data quality, governance, and compliance
Performance optimization for data storage, retrieval, and visualization
Query performance and cost management
Data pipeline reliability
Scaling data pipelines
Implementing responsible ai governance
Optimizing ai workloads cost
Ensuring data protection compliance
Modernizing legacy applications
Data quality and consistency

▲Active Projects

Ai agents and mcp servers
Client project
Data architecture roadmap
Data pipelines using airflow, dbt, and python
Scalable data pipelines and analytics solutions on gcp
Ci/cd pipelines and infrastructure automation
Query performance and cost management in bigquery
Automation solutions for sdlc
Technical standards for ai tool usage
Enterprise ai roadmap

Hiring Activity

Accelerating15 roles · 8 in 30d

Department

Data

Engineering

Product

Seniority

Senior

Lead

Mid

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About KANINI

KANINI delivers software engineering, data analytics, and ServiceNow implementation services to mid-market enterprises in financial services, healthcare, and manufacturing. Founded in 2003 and headquartered in Nashville, the company operates on a global delivery model with hiring across the United States, Canada, and India. Core service lines include product engineering, data architecture and pipelines, and cloud infrastructure automation. The firm emphasizes agile practices and a human-centered operating philosophy, positioning consulting and implementation as long-term partnerships rather than transactional engagements.

HeadquartersNashville, Tennessee

Company Size501–1,000 employees

Founded2003

Hiring MarketsCanada, United States, India

Frequently Asked Questions

What tech stack does KANINI use?

KANINI uses C#, .NET Core, Angular, React, Node.js, Python, Apache Airflow, dbt, Snowflake, Azure, AWS, and GCP. The firm is adopting Terraform, Deployment Manager, and MCP for infrastructure and AI work.

What is KANINI working on?

Active projects include AI agents and MCP servers, data architecture roadmaps, scalable data pipelines on GCP using Airflow and dbt, CI/CD and infrastructure automation, and enterprise AI governance frameworks.