Andreea-Daniela Dușa

Junior Data Engineer | SQL, Python & Azure

Bucharest, RO.

About

Highly analytical Master's student specializing in Economic Informatics, with a strong foundation in Azure Data Factory ETL/ELT pipelines, SQL, Python, and star-schema modeling. Proven ability to build robust data solutions, including a Python pipeline processing over 16,000 records and Power BI models integrating 2,000+ orders and 1,470+ HR profiles. Eager to leverage expertise in data validation, cleansing, and transformation to drive impactful data engineering initiatives.

Work

Cyberllence Innovation - educational technology

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Robotics Instructor

Bucharest, Bucharest, Romania

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Summary

Instructed 40+ students in C++, robotics, IoT, and introductory AI, adapting complex technical concepts for diverse age groups and skill levels within fixed course schedules.

Highlights

Taught C++, robotics, IoT, and introductory AI to over 40 students across multiple cohorts, adapting explanations to different ages and levels.

Guided 20+ structured exercises and team projects, ensuring adherence to fixed course schedules and fostering practical application of learned skills.

Developed tailored educational content for multiple cohorts, enhancing student engagement and comprehension in emerging technology fields.

SoftServe - software development & consulting

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Data Engineering Trainee

Bucharest, Bucharest, Romania

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Summary

Built and tested ETL/ELT data pipelines in Microsoft Azure Data Factory, ingesting diverse data sources, and configured cloud data workflows for Business Intelligence solutions.

Highlights

Developed and rigorously tested ETL/ELT data pipelines using Microsoft Azure Data Factory, integrating diverse data sources including SQL, NoSQL, flat-file, and REST APIs.

Configured and managed cloud data workflows across Azure SQL Database, Blob Storage, and Synapse Analytics to support robust data solutions.

Executed comprehensive data validation, cleansing, and transformation processes, ensuring high data quality for Business Intelligence solutions.

Applied data modeling principles to structure data effectively, enhancing analytical capabilities for sample BI solutions.

Volunteer

Student Mentor

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Cartea Daliei

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Mentored 15+ students weekly in Python programming and Data Science, covering essential libraries like NumPy, Pandas, Scikit-learn, and Matplotlib for grades 5-12.

Highlights

Provided weekly online mentorship in Python programming and Data Science to over 15 students across grades 5-12.

Developed and delivered engaging lessons on key data science libraries including NumPy, Pandas, Scikit-learn, and Matplotlib.

Fostered foundational programming and analytical skills in young students, contributing to their educational development.

First-Aid Trainee

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Exista Un Erou

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Completed over 30 hours of certified first-aid training, acquiring essential emergency response skills and practical experience in critical procedures.

Highlights

Successfully completed over 30 hours of certified first-aid training, acquiring essential emergency response skills.

Gained practical experience in critical first-aid procedures and protocols, enhancing preparedness for emergency situations.

Education

Bucharest University of Economic Studies (ASE-CSIE)

Bucharest, Bucharest, Romania
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Master of Science Economic Informatics

Bucharest University of Economic Studies (ASE-CSIE)

Bucharest, Bucharest, Romania
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Bachelor of Science Economic Informatics Grade: 9.33/10

Courses

Database Systems

Enterprise Information Systems

Software Engineering

Data Analytics

Business Intelligence

National College "Mihail Kogalniceanu", Galati

Galati, Galati, Romania
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High School Diploma Mathematics-Informatics

Awards

Second Prize, Student Scientific Research Session, ASE: Applications of Entropy in Coding Theory

ASE (Bucharest University of Economic Studies)

Awarded second prize for research on 'Applications of Entropy in Coding Theory' at the Student Scientific Research Session.

Third Prize, County English Olympiad, Galati

County English Olympiad

Recognized for outstanding achievement in the County English Olympiad in Galati.

Third Prize, "Severin Bumbaru" IT Creativity Contest

"Severin Bumbaru" IT Creativity Contest

Awarded for creative contributions in the "Severin Bumbaru" IT Creativity Contest.

Languages

Romanian

English

French

Certificates

SAS Academic Specialization in Advanced Data Science Programming

SAS

Skills

Data Engineering & Cloud

Microsoft Azure, Azure Data Factory, Azure Synapse, Azure SQL Database, Azure Blob Storage, ETL/ELT Pipelines, Data Warehousing Concepts.

Databases & Modeling

SQL, SQL Server, Azure SQL, SQLite, Relational Design, Star Schema, ERD.

Python

Pandas, NumPy, spaCy, Scikit-learn, Data Cleansing, Data Validation, Data Transformation.

Business Intelligence

Power BI, Power Query, DAX, Excel, Pivot Tables, Lookups, Conditional Formatting.

Programming & Tools

C#, C++, JavaScript, Git, GitHub, Streamlit, SAS.

Projects

Social Media Anime Sentiment Data Pipeline

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Summary

Developed a comprehensive Python pipeline to process over 16,000 online discussions, performing URL/HTML sanitization, token filtering, and text normalization with spaCy. Persisted processed data and trained TF-IDF + Logistic Regression models, achieving 84% accuracy, and deployed results via an interactive Streamlit app.

Enterprise BI: Sales Analytics & HR Attrition Reports

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Summary

Integrated over 2,000 retail orders and 1,470 HR profiles into interactive Power BI dashboards, utilizing Power Query for multi-source merging, cleansing, and null handling. Designed a star-schema model with one-to-many relationships and 10+ custom DAX measures for comprehensive KPI, margin, and turnover analysis.

Reading Tracker - Bachelor's Thesis

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Summary

Designed a normalized SQLite database with 7 tables and many-to-many links, queried through ADO.NET with parameterized SQL and a repository layer. Developed functionalities for reading statistics (duration trends, genre distribution) and documented the system with ER/UML diagrams in a 76-page thesis.

AGRIECO Sales Analytics

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Summary

Built a Streamlit application for exploratory analysis of an agricultural company's sales and delivery data. Implemented missing-value and duplicate checks, IQR outlier detection verified against source data, and generated time-series charts and correlation heatmaps to uncover key insights.