Bianca Munteanu

Data Engineer with experience building scalable and reliable data pipelines on GCP, supporting data-driven decision-making in business and marketing environments. Skilled in transforming complex datasets into analytics-ready data models and enabling stakeholders to derive insights for revenue and performance optimization. With a background in Data Science, I bring an end-to-end understanding of the data lifecycle.

Highly motivated to grow, take ownership, and contribute in fast-paced environments.

Data Engineer - Hiberus - Madrid

(2024-04)

Project: Vocento and Project: Havas Media Network

• Design and develop scalable data pipelines (ETL/ELT) within a GCP-based medallion architecture.
• Build and maintain Python-based DAGs using Cloud Composer (Airflow) to orchestrate reliable data workflows.
• Transform and model data into analytics-ready datasets and data marts using Dataform and BigQuery.
• Ensure data reliability and availability through monitoring and validation using Cloud Monitoring.
• Enable stakeholders to access high-quality data for business and revenue-related analysis.
• Contribute to the migration of multiple data sources to cloud environments, improving scalability and performance.
• Own the development and maintenance of data pipelines, ensuring scalability, reliability, and performance.
• Designed and maintained end-to-end data pipelines from multiple sources (APIs, databases, marketing platforms).
• Developed data ingestion and transformation processes using Cloud Functions, Dataform, and BigQuery.
• Orchestrated workflows using GCP Workflows to ensure robust and reliable data processing.
• Built analytics-ready data models to support marketing performance and revenue-related decision-making.
• Collaborated with cross-functional stakeholders to define data requirements and deliver business-focused data solutions.

Data Scientist - Accenture - Madrid

(2021-03 - 2024-04)

Worked on multiple projects including Airbus, Schneider Electric, and Perfetti Van Melle.

• Developed optimization models based on genetic algorithms for aircraft maintenance planning to anticipate failures and optimize maintenance timing.
• Developed Machine Learning models to define pricing strategies, optimizing business decision-making based on current and historical market behavior.
• Implemented logistics network optimization models using AIMMS to evaluate warehouse and factory structures, enabling data-driven strategic decisions.

MSc - Business Analytics & Big Data - University of Alcala (2020 - 2021)

BSc - Economics & International Business - University of Alcala (2015 - 2019)