Vėjai

Vėjai

Data Infrastructure and Analytics

We Turn Data Dreams into Scalable Realities

About us

We're a small team of elite data specialists who build fast, efficient, and modern data infrastructures from scratch. We specialize in transforming early stage companies into data-driven organizations and modernizing outdated infrastructures. With roots in the startup industry, we understand the importance of lean, value-oriented development. We focus on delivering high-impact solutions that drive growth without unnecessary complexity. We offer our services on both extended contract and hourly bases, providing the flexibility of a freelancer with the strength of a team. Scale our involvement to fit your project's needs and budget.

Industry
Data Infrastructure and Analytics
Company size
2-10 employees
Type
Privately Held
Founded
2024
Specialties
Data engineering, Data architecture, Data analytics, Cloud data solutions, Data strategy, Data modelling, Data consulting, GCP, DBT, Looker development, ELT, ETL, Business Intelligence, BI, Bigquery, Airbyte, Python, Airflow, Lightdash, Looker, SQL, and CloudSQL

Employees at Vėjai

Updates

  • At Vėjai, we believe that advanced BI capabilities should be accessible to businesses of all sizes. We're excited to share a comprehensive 5-part tutorial, written by Vėjai co-founder Albinas, on how to create a cost-effective BI infrastructure from scratch - without the need for a large budget or a team of engineers.

    View profile for Albinas Plesnys, graphic

    Data Architect | Building Scalable Data Solutions on Cloud @Vėjai

    I've recently posted on medium an article series, "BI Infrastructure Without Robbing a Bank: a complete tutorial in 5 parts". In it I share what I think is something many might have missed with the data landscape changing ever so quickly - that the freemium BI ecosystem has finally come into a long-awaited maturity. Majority of my professional life during the last 4 years was spent freelancing among various projects and companies. And my usual role there was to come help build their BI infrastructure, usually from some rather rudimentary point. The responsibilities of a data solution architect gave me the chance to touch the majority of the most popular tools around. My typical clients were tech startups and e-commerce companies, so, sure enough, this gives a somewhat partial view. Nevertheless, I came to find the repeating requirements among the different businesses, and the tools best filling those requirements. This, in various flavors, became my current favorite stack, consisting mainly of: dbt, Airbyte, Lightdash, and Kestra, self-hosted on GCP. For my friends in data - many of whom I've already discussed this stack with on many occasions - this is an (I hope) easy-to-follow tutorial, which you could follow as a weekend's project and hands-on test all the components of the stack. Best part - all the tools are free to use (you pay for cloud services only). Some of the tools are, perhaps, already your bread and butter, though it might be fun to sit down again and try setting all of them up from scratch. The tutorial link is here: https://lnkd.in/dUcDnDPm Also, if you want to discuss or share your experience with the listed tools -please do! I am pretty hyped to hear others' experiences. Happy reading! dbt Labs Airbyte Lightdash Kestra Vėjai

    BI Infrastructure Without Robbing a Bank: a complete tutorial in 5 parts (1)

    BI Infrastructure Without Robbing a Bank: a complete tutorial in 5 parts (1)

    medium.com

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