Building Scalable,
Data-Powered Systems
That Drive Real Business Decisions

MV.tech designs and manages modern data platforms – ETL pipelines, cloud architectures, and analytics systems – so businesses can trust their data.

About MV.tech

Data-Driven

Transforming raw data into reliable, decision-ready insights

Production-Grade

Building systems that perform reliably at scale

Execution-Focused

Delivering measurable business outcomes

MV.tech is a data-powered solution company helping businesses build dependable and scalable data systems. With 5+ years of hands-on experience, we focus on designing clean data models, robust pipelines, and cloud-native architectures that perform reliably in production.

A Venture by Meet Jayantilal Vaghasia, we specialize in turning complex data challenges into strategic advantages through technical excellence and proven methodologies.

Our Services

End-to-end data solutions tailored to your business needs

Data Engineering & ETL Pipelines

Designing, building, and maintaining reliable data pipelines that automate data flow and ensure data quality.

Cloud Data Platforms (AWS & GCP)

Scalable cloud architectures optimized for performance, cost-efficiency, and seamless integration.

Data Warehousing & Modeling

Clean, normalized schemas built specifically for analytics, reporting, and business intelligence.

Analytics & Reporting Systems

High-performance dashboards and reporting systems powered by advanced SQL and modern BI tools.

API & External Data Integrations

Seamless data ingestion from third-party platforms, APIs, and external data sources.

Web Scraping & Data Extraction

Automated data collection from websites, dashboards, and online platforms, handling dynamic content, authentication, and structured output for analytics and reporting.

Process Automation & Workflows

Custom automation solutions that streamline repetitive tasks, scheduled jobs, and data workflows, improving reliability, speed, and operational efficiency.

Retrieval-Augmented Generation (RAG)

Context-aware systems that combine internal data with language models, enabling accurate, controlled, and relevant responses from documents and structured data.

Custom Chatbots & Assistants

Purpose-built chatbots integrated with databases and APIs to provide fast, consistent responses for internal tools, support systems, and customer-facing applications.

Experience & Credibility

Proven expertise in building enterprise-grade data infrastructure

5+ Years

Hands-on industry experience

Certified

IBM & Google certified professional

Precision

Focus on automation & accuracy

Visibility

End-to-end system monitoring

Tools & Technologies

Data Engineering & ETL Pipelines

  • Python, SQL
  • ETL & orchestration workflows
  • Data quality checks & validation

API & External Data Integrations

  • REST APIs, webhooks, OAuth
  • Jira API, GitHub API, external feeds
  • Reliable ingestion & transformations

Cloud Data Platforms (AWS & GCP)

  • AWS, Google Cloud Platform
  • Cloud-native deployment patterns
  • Cost & performance optimization

Data Warehousing & Modeling

  • Amazon Redshift, Google BigQuery
  • Dimensional / normalized modeling
  • Query tuning & partition strategy

Analytics & Reporting Systems

  • Tableau (Server & Desktop)
  • Advanced SQL reporting layers
  • KPI dashboards & automated refresh

Web Scraping & Data Extraction

  • Selenium, Python scraping pipelines
  • Dynamic pages, auth, pagination
  • Clean structured output for BI

Process Automation & Workflows

  • Workflow automation & scheduling
  • Data validation & monitoring scripts
  • Reduced manual work & faster delivery

RAG & AI Integrations

  • RAG pipelines over docs & data
  • LLM integrations for insights & QA
  • Secure context handling with controlled data access

Custom Chatbots & Assistants

  • Purpose-built chatbots for internal tools and workflows
  • Bots connected to APIs, databases, and business systems
  • Fast, consistent responses tailored to specific use cases

Designed, deployed, and maintained data systems running daily in production environments.

AWS • GCP • Redshift • BigQuery • Tableau • Python • SQL

How We Work

An execution-first approach focused on delivering real value

01

Understand Your Goals

Clarify what you’re building, who it’s for, and what “success” looks like.

02

Plan the Solution

Define scope, choose the right approach, and map the fastest path to a clean delivery.

03

Build & Integrate

Implement the solution end-to-end, connect the needed systems, and keep everything maintainable.

04

Test & Optimize

Validate results, improve performance, and remove bottlenecks before launch.

05

Deploy & Support

Go live with documentation, monitoring, and a clear handover or ongoing support plan.

Who We Work With

We scale with you, from startup to enterprise

Early-Stage Startups

Building your first data infrastructure from the ground up with scalability in mind

Growth-Stage Companies

Scaling your data systems to handle increasing complexity and volume

Enterprise Data Teams

Modernizing legacy systems and implementing cloud-native architectures

We grow with you

Whether you're validating your first product or managing petabytes of data, we provide the technical expertise and strategic guidance to build data systems that support your business at every stage.

Ready to Build Data Systems
You Can Trust?

Let's discuss how MV.tech can transform your data infrastructure into a strategic business advantage.

Trusted by startups, growth companies, and enterprises

5+ Years Experience
AWS & GCP Certified
Production-Grade