Services
Build a new system, improve the one you have, add engineering capacity or hire permanently. MV.tech provides data, software, automation and AI services remotely from Ahmedabad, India. We agree the first deliverable, who owns the work and the collaboration hours before an engagement starts.
Core services
Dedicated data engineering and analytics capacity from India for ETL, cloud warehouses, BI, migration and data quality work, with senior consultants working in agreed overlap hours.
Explore offshore data teamPipelines from APIs, files and databases into BigQuery, Snowflake, Redshift or your warehouse of choice. Migrations off legacy reporting, dimensional and semantic models, reconciliation checks and reporting your team can trust.
Explore data engineeringLegacy databases and manual reporting moved into Snowflake, BigQuery or Redshift, with metadata profiling, dependency analysis, source-to-target mapping and stage-by-stage reconciliation before anything is switched off.
Explore migrationSemantic and dimensional models behind Power BI, Tableau, Looker Studio and Streamlit, with DAX, agreed KPI definitions, self-service datasets and monitored refreshes.
Explore business intelligenceBusiness applications, client portals, dashboards and internal tools with role-based access, APIs and data backends designed together.
Explore custom softwareKnowledge assistants grounded in your documents, Model Context Protocol servers and custom AI connectors exposing approved tools and databases, and GPT, Claude, Llama or Qwen features integrated into existing products with evaluation built in.
Explore AI consultingThe layer underneath an assistant: custom MCP servers and enterprise AI connectors in Python that give agents scoped, validated and logged access to your databases, APIs and internal tools.
Explore MCP developmentTransactions, logs and events decoded with contract ABIs and Web3.py, consolidated across networks into BigQuery, with token valuation, categorisation, staking-reward reconciliation and an audit trail that survives corrections.
Explore on-chain analyticsReplace manual hand-offs between business systems with scheduled jobs, webhooks, Apps Script and integrations that validate, reconcile, retry safely and tell you when they fail.
Explore automationSenior data, software, cloud and AI consultants embedded in your team, in your tools and your hours, for an agreed capacity and duration.
Explore staff augmentationPermanent hiring for AI, data, software and cloud roles, with an engineer writing the brief, screening for technical depth and coordinating your interview process.
Explore recruitmentCapabilities within those services
Storage, compute, orchestration and warehouse design on Google Cloud, AWS or Azure: BigQuery, Cloud Run, Cloud Logging and Secret Manager; S3, EC2 and Redshift; Azure Data Factory, Azure SQL, Blob Storage and Data Lake ingestion.
Snowflake, BigQuery, Redshift and PostgreSQL with raw, staging, curated and reporting layers, fact and dimension models at an agreed grain, conformed dimensions, naming standards, query tuning and documentation.
Moving legacy databases such as SQL Server, data lakes and manual spreadsheet reporting into a cloud warehouse, with database discovery, source-to-target mappings, dependency and impact analysis, and stage-by-stage reconciliation before anything is switched off.
Power BI, Tableau, Looker Studio and Streamlit reporting over curated views and semantic models, with metric definitions, refresh checks and alerts. Existing SSAS and Analysis Services models reviewed before they are rebuilt.
Checks that compare pipeline stages and source systems on record counts, date coverage, nulls, duplicates, totals and metrics, with outlier detection, alerting and a documented override path for the figures people adjust by hand.
REST APIs, OAuth flows, webhooks, blockchain RPCs and scheduled pulls from SaaS, finance and operational systems, with retries and transformation logic. Google Apps Script jobs and Sheets add-ons where the process genuinely lives in a spreadsheet.
Maintainable Python collection from dynamic pages and authenticated portals, respecting source terms and rate limits, plus LLM-assisted extraction from documents whose layout keeps changing.
Operational apps, admin panels and customer portals with role-based access, forms, approvals and API-backed workflows, plus Streamlit and Plotly data apps for internal analysis.
Support and internal Q&A assistants connected to databases and APIs, with role-aware behaviour, source grounding and a clear answer when the source material cannot answer.
Model Context Protocol servers in Python, custom connectors, plugins and reusable AI skills that expose approved business tools and data to AI applications, with OAuth, managed secrets and logging designed in.
Cross-chain transaction data consolidated into a warehouse: transactions, logs and events decoded with contract ABIs and Web3.py, token valuation with FX reference data, fee proration, categorisation and staking-reward reconciliation.
Performance passes, monitoring, least-privilege access, OAuth and managed secrets that support SOC 2 programmes, deployment hygiene and support plans for systems already in production.
Which service do I need?
These are examples of starting scopes. We confirm the deliverables, access, acceptance criteria and price for your systems before work begins.
Describe your requirementBuyer resources
Buyer question
How to evaluate offshore data partners and decide whether you need embedded capacity, scoped delivery or hiring support.
Buyer's guide
What to ask about seniority, scope, validation, ownership and handover before comparing proposals.
Engagement models
When to choose a scoped project, embedded consultants or a permanent hire.
Not sure where to start?
Share what is slowing your team down, the systems involved and the result you need. We will discuss whether a project, an embedded specialist or a permanent hire fits, and what needs clarifying before we propose a scope.
