Open to opportunities

Elvin Guseinov

@elvinguseinov

Technical Solutions Architect and Data Engineer who automates ELT/warehouse delivery with Data Vault 2.0 and cloud pipelines.

Germany

Message

What I'm looking for

I’m looking to build and automate data platforms end-to-end—ELT pipelines, Data Vault modeling, and dashboards—using modern cloud stacks. I want ownership, collaboration, and opportunities to apply AI to improve reliability and performance.

I’m a Technical Solutions Architect (Data Engineer) focused on building automated, cloud-based data platforms. I’ve implemented Data Vault 2.0 modeling in dbt with Google BigQuery, and I design staging and transformation layers within ELT architectures.

I integrate multiple source systems into enterprise data platforms, manage data ingestion and Data Lake loading, and deliver Business Vault rules plus Raw Vault modeling and refactoring. I also develop dimensional models (star schema) to create information marts, and I automate cross-platform workflows using AWS, Google Cloud Platform (GCP), and Zapier.

I bring an engineering mindset that extends into AI-powered automation: I research and evaluate AI methods to optimize data platform processes. I’m also part of the product development team building TurboVault Engine, an open-source Python package for Data Vault automation, including OAuth 2.0 authentication and social login integrations with providers like Google and GitHub.

Experience

Work history, roles, and key accomplishments

Current

Technical Solutions Architect

Current

Scalefree

Mar 2025 - Present (1 year 4 months)

- Automated Data Warehouse development and implemented Data Vault 2.0 modeling using dbt and Google BigQuery.
- Designed, implemented, and maintained staging processes within an ELT architecture.
- Integrated multiple source systems into the enterprise data platform.
- Managed data ingestion, loading, and maintenance of the Data Lake.
- Modeled and implemented business entities in the Enterprise D

DBT Google BigQuery ELT Data Ingestion Data Lake Raw Data Vault AWS Google Cloud Platform (GCP)Zapier Reports And Dashboards AI Automation Python Data Vault Data Architecture Data Loading OAuth 2.0 Google GitHub TurboVault Engine

Corporate Academy Student

Scalefree

Sep 2024 - Mar 2025 (6 months)

- Successfully completed a six-month trainee program alongside university studies, specializing in Data Warehousing, Business Intelligence, and modern Cloud Technologies.
- Developed a custom Meltano extractor for automated data extraction and ingestion.
- Modeled and implemented Data Warehouse structures following the Data Vault 2.0 methodology.
- Delivered business-ready data and reports using G

Data Warehousing Business Intelligence Cloud Technologies Meltano AWS AWS Step Functions Data Ingestion Google BigQuery Snowflake DBT Datavault4dbt GitHub Microsoft Power BI Tableau

Data Analyst

QSS Analytics

Sep 2022 - Mar 2024 (1 year 6 months)

I took part in lots of projects where I was responsible for the whole lifecycle of the project – starting from idea generation, product definition and prototyping. Additionally, I was responsible for creating data infrastructure of the projects including data collection process, database architecture definition, SQL queries creation and analysis conduction.
List of projects:
Wrestler Performance

Tableau Selenium Web Scraping Data Cleaning PostgreSQL SQL Python ETL Data Infrastructure Sales Analysis

Python and Big Data Instructor

Data Science Academy

Jan 2023 - Sep 2023 (8 months)

Teaching at Intensive Data Science Bootcamp such topics as:
Data Analytics using Python, Machine Learning (Supervised | Unsupervised), Deep Learning, PySpark, Hadoop, AWS