Data42Data42

About

A small team, deep in a few tools rather than familiar with forty.

Data42 was founded in Yerevan in 2021 by engineers who had spent years inside large companies' data platforms and wanted to build them with less overhead and more craft.

Since then we have worked as the embedded data team for a global consumer goods company, delivered brand, influencer, and medical affairs intelligence for a market research firm, and built data and AI products for startups.

Every engagement is run by people who have carried the pager for a platform they built, and the engineer you meet on the first call is the one who writes the code.

2021
Founded in Yerevan
5 yrs
Embedded in one enterprise data team
AWS
Certified Data Engineer on the team
GMT+4
Overlaps EU mornings and US afternoons

Timeline

Five years, one direction.

  1. 2021

    Founded in Yerevan

    Started by engineers who had spent years inside large companies' data platforms.

  2. 2021

    Embedded in an enterprise data team

    Became part of the data organisation of a global consumer goods company. Still there.

  3. 2023

    Brand and market intelligence

    Delivered brand, influencer, and medical affairs analytics for a market research firm.

  4. 2024

    AI engineering practice

    Retrieval systems, agents, and AI-assisted engineering adoption for existing clients.

  5. 2025

    Data Engineering Academy

    Turned the internal onboarding path into a structured course for analysts and developers.

Expertise

What we are deep in.

We keep the stack narrow on purpose, so every engineer on the team is deep in it rather than just familiar with it.

Warehouses & databases

  • Snowflake
  • PostgreSQL
  • Oracle
  • SQL Server
  • BigQuery
  • Databricks

AWS

  • Lambda & Step Functions
  • Glue & EMR
  • S3, Athena & Iceberg
  • EventBridge
  • CDK
  • SSM

Pipelines & modelling

  • Airflow
  • dbt
  • Spark
  • Matillion
  • Snowpark
  • Kafka

BI

  • Apache Superset
  • Power BI
  • Metabase
  • Looker

AI

  • Claude & Claude Code
  • OpenAI & Azure OpenAI
  • LangChain
  • Hybrid retrieval & GraphRAG
  • MCP servers
  • AWS Transcribe

Languages

  • SQL
  • PL/SQL & PL/pgSQL
  • Python
  • Scala
  • TypeScript
  • Bash
  • Industries
  • Consumer goods
  • Market research & brand intelligence
  • Pharma & medical affairs
  • Payments & fintech
  • Logistics
  • Influencer marketing
  • Startups

Fit

We say no to some work.

  • You want a slide deck about AI strategy and no code.
  • You need twenty engineers by next month.
  • You are looking for the cheapest hourly rate.

Everything else, talk to us. The engineer on the first call is the one who writes the code.