Backend Dev & Data Processing Specialist with SQL/Python Expertise

Peyman Abbasian

412-***-**** ********.*@*****.*** LinkedIn/Peyman Abbasian GitHub/Peyman Abbasian Education

University of Pittsburgh Graduated: Dec. 2023

Bachelor of Arts in Computer Science GPA: 3.65 Pittsburgh, PA Community College of Allegheny County Graduated: May 2018 Associate’s in Software Development GPA: 4.0 Pittsburgh, PA Work Experience

Backend Developer Billing Jan 2025 – Present

BNY Mellon Pittsburgh, PA

• Developed SQL queries and automated data validation in SSMS, ensuring accuracy and detecting anomalies in financial datasets.

• Streamlined billing system configurations (groups, invoices, accounts), improving cross-departmental efficiency and reducing manual errors.

• Automated update workflows for fee structures and account configurations, cutting down manual coordination overhead.

Backend Developer & Data Processing Technician Apr. 2024 – Jan. 2025 Swiss Post Solution Pittsburgh, PA

• Built automated transaction validation pipelines in Python, reducing manual intervention by 40% and ensuring payment accuracy.

• Designed error-handling and monitoring systems with real-time alerting and automated remediation.

• Scaled backend processes to handle high-volume, multi-currency transactions at 99.9% accuracy. Full Stack Developer- Social Media Undergraduate Research Aug. 2023 – Dec. 2023 University of Pittsburgh Pittsburgh, PA

• Built a responsive app using Flask, Django, JavaScript, HTML, and CSS that allowed users to schedule social media posts across Instagram and Twitter.

• Released the app at no cost to peers across the university, gaining over 300 active users.

• Developed Python-based features that learned optimal engagement times for social media posts, increasing overall engagement by 25% for users using NoSQL, Excel, and Python. Data Processing Specialist Apr. 2016 – Mar. 2024

BNY Mellon Pittsburgh, PA

• Ensured the accuracy and completeness of financial data entries, effectively minimizing errors in transaction processing.

• Managed large volumes of financial transactions, including payments, deposits, and withdrawals, while adhering to bank policies and regulatory standards.

• Utilized data analysis tools to identify trends and discrepancies, driving opportunities for process improvements. Technical and Soft Skills

Languages: Python, JavaScript, Java, TypeScript, C, C++, Rust, SQL, HTML/CSS Frameworks: React, Next.js, Node.js, Flask, LangChain, JUnit, Express.js, WordPress, Material-UI, FastAPI, Phaser Developer Tools: Docker, Amazon Web Services, Google Cloud Platform, Postgres, SQLite, Linux, Git, MongoDB, TravisCI, VS Code, Visual Studio, PyCharm, IntelliJ, Eclipse Libraries: pandas, OpenCV, spaCy, NumPy, Matplotlib, JUnit, TensorFlow, PyTorch, scikit-learn Concepts: Machine Learning, Artificial Intelligence, Augmented Reality, Natural Language Processing (NLP), Agile Soft Skills: Trilingual (Farsi, English, and Russian), Leadership, Adaptability, Teamwork Skills and Experiences

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