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Petru Mateescu

@petrumateescu

Data Engineer specializing in scalable data solutions and optimization.

Romania
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What I'm looking for

I am looking for a collaborative environment that fosters innovation and growth.

I am a Data Engineer with a strong background in architecting and optimizing scalable data solutions. Currently, I work at HCL Technology for ABN AMRO, where I have successfully leveraged Databricks and Azure Data Factory to enhance data pipeline performance by 50% and reduce data ingestion latency by 25%. My expertise in SQL and advanced data management has allowed me to implement comprehensive strategies that significantly lower operational costs in large-scale data processing.

Previously, I served as a Software Validation Engineer at Microchip Technology, where I optimized software and hardware processes, achieving a 50% reduction in revalidation time and a 25% boost in defect detection. My leadership as a Product Owner led to a 15% increase in productivity through Agile methodologies. I also have experience in mentoring interns and engaging students in tech fields, fostering the next generation of engineers.

In addition to my professional experience, I am passionate about personal projects, including developing a Django web application for traffic management and implementing a stock price prediction model using Python. My academic background includes a Master’s degree in Computer Science from POLITEHNICA University of Bucharest, where I graduated with a GPA of 4.00/4.00.

Experience

Work history, roles, and key accomplishments

SA
Current

FullStack Developer

SafeNav.tech

Oct 2023 - Present (1 year 10 months)

Developed a Django web application with Google Maps/Mapbox APIs, enabling live traffic communication; deployed on AWS EC2 with CI/CD pipelines. Optimized architecture and improved UX/UI by 33% via Figma design, enhanced security and performance using PyTest, Selenium, Zap, and JMeter.

HA
Current

Data Engineer

HCL Technology - ABN AMRO

Jan 2025 - Present (7 months)

Architected and optimized scalable data solutions, leveraging Databricks for extensive data pipeline and notebook management with PySpark OOP and Azure Data Factory for robust data workflow orchestration, increasing performance by 50% and reducing data ingestion latency by 25%. Implemented Medallion architecture with 4 distinct steps and integrated diverse data sources: Storage Accounts, Data Lake

PP

Data Scientist

Personal Project

Dec 2022 - Mar 2023 (3 months)

Implemented a stock price prediction model in Python, Quandl API, and Scikit-learn, forecasting data with SVR and LR techniques. Engineered a data processing pipeline with a high coefficient of determination (93) for future 30-day forecasts and performance validation.

PP

Embedded Systems & Software Engineer

Personal Project

Feb 2022 - Jun 2022 (4 months)

Created a smart chair improving posture with over 85% accuracy; developed a web application in Firebase, React, and Node.js to notify posture corrections. Refined communication protocols between micro-controllers and cloud services, improving system dependability and response time by 15%.

MI

Software Validation Engineer

Microchip Technology Incorporated

Nov 2022 - Dec 2024 (2 years 1 month)

Optimized software and hardware processes, reducing revalidation by 50%, boosting defect detection by 25%, and automating testing with better coverage, coding standards, and documentation. Developed a processing tool for over 90% of tests, reducing time from hours to seconds with Excel VBA and Python.

PB

Teaching Assistant

POLITEHNICA University of Bucharest

Jan 2022 - Jun 2022 (5 months)

Instructed 10 courses in Data Acquisition, Robotics, and Electronics to over 40 students, emphasizing C++ and Python programming. Guided and evaluated complex projects using Arduino, MicroPython, LabVIEW, and CODESYS, with real-life applications, hands-on, and practical experience.

AA

Software Engineer

ASTI Automation

Jul 2021 - Present (4 years 1 month)

Led an R&D team designing a 3-axis robot with a 3D laser camera, advanced software architecture, refined precision, efficiency, and object recognition by 33%.

Education

Degrees, certifications, and relevant coursework

POLITEHNICA University of Bucharest logoPB

POLITEHNICA University of Bucharest

Master’s Degree, Computer Science

2022 - 2024

Grade: 4.00 / 4.00

Activities and societies: Cloud Computing, Adaptive and Collaborative Systems, IT Management and Security, Distributed Systems, Web Design.

Completed a Master's degree in Computer Science with a perfect GPA of 4.00/4.00. Coursework included Cloud Computing, Adaptive & Collaborative Systems, IT Management & Security, Distributed Systems, and Web Design.

POLITEHNICA University of Bucharest logoPB

POLITEHNICA University of Bucharest

Bachelor’s Degree, Computer Science

2018 - 2022

Grade: 3.80 / 4.00

Activities and societies: Assembly, Networking, Operating Systems, Data Structures, Concurrent, Object Oriented and Procedural Programming, Algorithms Analysis, Parallel, Distributed and Multi-threaded Algorithms, Electronics and IoT, Processor Design, Communication Protocols, Databases.

Obtained a Bachelor's degree in Computer Science with a GPA of 3.80/4.00. Key coursework covered Assembly, Networking, Operating Systems, Data Structures, Concurrent, Object Oriented & Procedural Programming, Algorithms Analysis, Parallel, Distributed & Multi-threaded Algorithms, Electronics & IoT, Processor Design, Communication Protocols, and Databases.

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