Mramos M.

Data Engineer | Analytics Engineer | ETL & Data Warehouse Specialist | Python Developer I help companies build scalable data platforms and system integrations My focus is on designing and implementing end-to-end data pipelines: from ingestion layers and modern data warehouse architectures and structured data models, to KPI definitions and reporting. I’ve worked on projects involving: • Multi-source data warehouses using GCP (BigQuery), dbt and Looker • SaaS API integrations with complex authentication, data extraction, and normalization • Shopify-based SaaS systems integrating multiple external logistics and carrier APIs into unified data structures • Enterprise reporting platforms using Microsoft Fabric, SQL Server, dbt and Power BI, consolidating operational data across HR, Finance, Marketing and Operations Typical stack I work with: Python, SQL, dbt, Microsoft Fabric, GCP, BigQuery, SQL, Power BI, Looker, API REST, SOAP, Web Sockets, integrations. I enjoy working on complex systems integrations, data engineering, and KPI-driven reporting systems where reliability, scalability, and long-term maintainability matter. Additional experience across robotics, image analysis systems, machine learning, Python engineering, shopify, front-end and networking. I also have experience with building data-driven ingestion, systems using Python in both data engineering and ML-related contexts, and working with GCP for scalable cloud-based data solutions and integrations.