Ryan McDonald

Background

About Ryan McDonald

Work Experience - Senior Data Integration Engineer at nCino (Feb 2025 - Present) Design and implement data integration solutions for banking core systems (Fiserv, Jack Henry, Temenos, etc.) Build real-time and batch data pipelines connecting core banking platforms with downstream applications. Develop APIs and microservices for seamless data exchange between banking core and fintech applications. Ensure data synchronization across multiple banking systems and maintain data consistency. Solution Engineer II at SandboxBanking (Feb 2023 - Feb 2025) Collaborated with clients to gather detailed requirements and translate them into effective technical solutions, enhancing customer satisfaction and project outcomes Led and managed solution implementation projects, coordinating with internal teams and clients to ensure timely delivery and successful deployment Developed and maintained custom ETL scripts and workflows to automate data migration processes, improving efficiency and reducing manual effort Data Migration Engineer; Tech Lead - Greenhouse Software - Aug 2021 – Oct 2022 Led multiple end-to-end data migration projects, including planning, execution, and validation, ensuring data integrity and minimizing downtime Analyzed and documented source and target data systems to create accurate migration maps and transformation rules Monitored and optimized data migration processes, reducing migration times and improving overall performance - Education History - Bachelor of Science in Computer Science - CSUF Associate of Science in Computer Science - Norco College - Recent Projects - Old School Runescape Gameplay Automation - Machine Learning and Computer Vision Gathered screenshots in game to train TensorFlow neural network to recognize and categorize objects Used NumPy to create training and testing data to ensure neural network was performing optimally Loaded trained model into OpenCV to recognize objects within screenshot of gameplay Used various logic and classes within Python to automate gameplay based on current status in game and objects detected in frame capture Covid-19 Data Analysis - Data Cleaning and Analysis Ran linear regression models on demographic data in conjunction with John Hopkins github to analyze leading cause of death for Covid-19 Extracted real time covid data from John Hopkins github Utilized Tidyverse for merging and joining tables and performing data cleaning