Iris Payne-Strange

Senior Data Engineer @ Capital One

About

𝗜 𝗸𝗻𝗲𝘄 𝗜 𝘄𝗮𝘀 𝗴𝗼𝗶𝗻𝗴 𝘁𝗼 𝗯𝗲 𝗮 𝗱𝗮𝘁𝗮 𝗻𝗲𝗿𝗱 𝗮𝘁 𝟵 𝘆𝗲𝗮𝗿𝘀 𝗼𝗹𝗱 𝘄𝗵𝗲𝗻 𝗜 𝗰𝗿𝗲𝗮𝘁𝗲𝗱 𝗮 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗶𝗻𝗱𝗲𝘅𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺 𝗳𝗼𝗿 𝗺𝘆 𝗣𝗼𝗸𝗲𝗺𝗼𝗻 𝗰𝗮𝗿𝗱𝘀. 𝗘𝘃𝗲𝗿𝘆 𝗼𝘁𝗵𝗲𝗿 𝗸𝗶𝗱 𝗷𝘂𝘀𝘁 𝗽𝘂𝘁 𝘁𝗵𝗲 𝘀𝗵𝗶𝗻𝘆 𝗼𝗻𝗲𝘀 𝘂𝗽 𝗳𝗿𝗼𝗻𝘁. Today, I’m driven by a passion for adaptability and innovation, thriving in environments where challenges are opportunities to grow. I love tackling novel problems and using my experience, expertise, and intuition to solve them. With a solid background in financial data engineering at FactSet Research Systems, I’ve developed a strong ability to visualize, structure, manipulate, and expose data quickly and safely in high-pressure environments. Whether it’s navigating the ever-changing tech landscape or fostering team collaboration through my background in leadership principles and Agile methodologies, I’m committed to continuous learning and discovering the best collaborative strategies to drive efficiency and results. As a neurodiverse professional, I bring a unique perspective to my work, leveraging my strengths in creative problem solving, approaching challenges from fresh angles, and thriving under pressure. I’m also passionate about maintaining professionalism while embracing my identity, creating an inclusive and authentic space for myself and those I work with. I believe in focusing on what’s within my control—adapting, preparing, and seizing new opportunities. I’m always eager to connect with like-minded professionals and explore opportunities where I can contribute my skills and grow alongside forward-thinking teams. Let’s connect! Feel free to reach out to discuss potential collaborations, share ideas, or explore new opportunities.

Country

United States

City

Jersey City

Industry

Financial Services

Skill

Cloud Infrastructure, Databases, Data Analytics, Data Architects, Data Maintenance, Data Loading, Datasets, Interpersonal Skills, Business Requirements, Cross-team Collaboration, Data Structures, Data Models, Computer Science, SQL Server Management Studio, Clean Coding, Code Review, Data Engineering, PostgreSQL, Software Development, Application Development

Experience

Senior Data Engineer

Capital One

2024-11 - Present · 1 yr 11 mos

New York, New York, United States

Senior Software Engineer

FactSet

2013-5 - 2024-2 · 10 yrs 10 mos

New York, United States

𝗦𝗲𝗻𝗶𝗼𝗿 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗙𝗮𝗰𝘁𝗦𝗲𝘁 Focused on sell-side data in Content Integration, specializing in data engineering within a team of 11. 𝗞𝗲𝘆 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗮𝗻𝗱 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: • 𝗦𝗲𝗹𝗹 𝗦𝗶𝗱𝗲 𝗘𝗧𝗟 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Developed and maintained Python and TSQL data pipelines for integrating data into an MSSQL data warehouse, ensuring consistency across various financial data models. • 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗖𝗿𝗲𝗮𝘁𝗶𝗼𝗻: Built a Python pipeline for extracting, cleaning, and transforming data from diverse sources, integrating it for multiple consumer applications. • 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Utilized Prefect for batch processing and converted legacy ETL processes to Python, enhancing task orchestration with tools like Dremio and AWS. • 𝗣𝘂𝗯𝗹𝗶𝘀𝗵𝗶𝗻𝗴 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Designed a Python and TSQL infrastructure to ensure high availability and data integrity across disparate datasets, implementing a robust ETL design for rapid recovery from failures. • 𝗔𝗣𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Created a proof-of-concept GraphQL API in Python to standardize data exposure from various sources using SQLAlchemy and Pandas. • 𝗟𝗲𝗴𝗮𝗰𝘆 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗥𝗲𝗳𝗮𝗰𝘁𝗼𝗿𝗶𝗻𝗴: Led the migration of ETL processes from MySQL to MSSQL, refactoring schema designs and converting legacy scripts from Ruby/Perl/Bash to Python. • 𝗗𝗮𝘁𝗮 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Enhanced data models by integrating third-party data, coordinating with vendors for timely delivery and conducting thorough testing. • 𝗔𝗣𝗜 𝗗𝗮𝘁𝗮 𝗔𝗰𝗰𝗲𝘀𝘀: Expanded data offerings via APIs, optimizing queries for efficient access to complex datasets. • 𝗩𝗲𝗿𝘀𝗶𝗼𝗻 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Transitioned the team from Perforce to GitHub, streamlining deployment processes and implementing CI/CD practices for rapid, low-risk code updates.