Search
Nora H.'s Photo

AI Engineer W/ 20 Years Experience
Nora H.

Your first lesson is backed by our Good Fit Guarantee
Hourly Rate: $90
Contact Nora

About Nora

Bio

I'm a software engineer and data engineering professional with hands-on experience building production ETL pipelines and data infrastructure at companies like Capital One. I've worked extensively with Apache Airflow, Python, SQL, and custom data pipeline development, both as an individual contributor and as a tech lead managing complex data systems. I know what it takes to go from learning concepts to actually shipping code that works in real production environments.
My teaching approach is...

I'm a software engineer and data engineering professional with hands-on experience building production ETL pipelines and data infrastructure at companies like Capital One. I've worked extensively with Apache Airflow, Python, SQL, and custom data pipeline development, both as an individual contributor and as a tech lead managing complex data systems. I know what it takes to go from learning concepts to actually shipping code that works in real production environments.
My teaching approach is straightforward: I focus on practical, real-world applications rather than just theory. Whether you're struggling with Python fundamentals, trying to understand how data pipelines fit together, navigating SQL queries, or preparing for technical interviews, I break down complex topics into clear, actionable steps. I've debugged enough broken pipelines and refactored enough messy code to know where beginners typically get stuck, and I can help you avoid those pitfalls.
I work best with students who want direct, honest feedback and practical guidance. If you're looking for someone who will help you build actual problem-solving skills—not just memorize syntax—and who understands what employers actually look for in data engineering candidates, let's work together.

Read more

Policies

Schedule

Loading...

Sun

Mon

Tue

Wed

Thu

Fri

Sat

Approved Subjects

Computer Engineering

Computer Engineering

I have professional experience as a software engineer and data engineering specialist, having served as a tech lead and data engineer at Capital One where I built and maintained production ETL pipelines processing large-scale financial data. My technical expertise spans Python development, SQL database design and optimization, Apache Airflow for workflow orchestration, and building custom data pipelines from scratch. I've designed and implemented systems that handle real-time data ingestion, transformation, and storage, working across the full stack from database architecture to API integrations. Currently, I work as a contractor building data infrastructure solutions, giving me current, hands-on experience with the tools and best practices that companies are actually using today.
Computer Science

Computer Science

I have professional experience as a software engineer and data engineering specialist, having served as a tech lead and data engineer at Capital One where I built and maintained production ETL pipelines processing large-scale financial data. My technical expertise spans Python development, SQL database design and optimization, Apache Airflow for workflow orchestration, and building custom data pipelines from scratch. I've designed and implemented systems that handle real-time data ingestion, transformation, and storage, working across the full stack from database architecture to API integrations. Currently, I work as a contractor building data infrastructure solutions, giving me current, hands-on experience with the tools and best practices that companies are actually using today.
Data Science

Data Science

I have hands-on experience with data science workflows from my roles as Principal Engineer at Catalyte managing ML model performance and as Lead Data Engineer at Upwise/MetLife supporting data science teams building financial prediction models. My expertise is in the engineering and infrastructure side of data science - building the data pipelines that feed models, preparing and cleaning large datasets, deploying models to production, and ensuring data quality and reliability at scale. I've worked extensively with Python, SQL, and the technical stack that data scientists rely on (pandas, numpy, data processing frameworks), and I understand the full lifecycle from raw data to actionable insights. I'm strongest at teaching the practical engineering skills that bridge the gap between data science theory and actually getting models and analyses into production environments that work reliably.
Information Technology

Information Technology

I have hands-on IT management experience overseeing network infrastructure, system security, and keeping business-critical technology running reliably. My background combines traditional IT administration - network configuration, troubleshooting, user support, infrastructure management - with software engineering expertise, giving me a comprehensive understanding of how systems work from both the infrastructure and application layers. I've managed the full IT stack including servers, databases, networking equipment, and security protocols, while also understanding how these systems support software development and data engineering workflows. Whether you're learning IT fundamentals, preparing for certifications, troubleshooting technical issues, or trying to understand how different IT components work together, I can provide practical guidance based on real-world experience keeping systems operational.
Machine Learning/ AI

Machine Learning/ AI

I served as Principal Engineer at Catalyte managing ML models that rated engineer performance, a system utilized by the U.S. government's Learn To Code initiative to assess and develop programming talent at scale. As Lead Data Engineer at Upwise/MetLife, I built and maintained the data infrastructure supporting ML-powered financial models, ensuring reliable data pipelines that fed prediction systems used for real-world financial decision-making. My expertise is in the production ML engineering side: deploying models to production, building the data pipelines that feed them, monitoring model performance, and managing the infrastructure that keeps ML systems running reliably. I understand both the technical requirements of getting models into production and the practical challenges of maintaining ML systems that actually work in real-world business environments.
Networking (Computer)

Networking (Computer)

I have practical networking experience from multiple roles including IT management and building production software systems that rely on network infrastructure. As a software engineer and data engineer, I've worked extensively with APIs, network protocols, database connections across distributed systems, and troubleshooting connectivity issues in production environments. In my IT management role, I handled network configuration, security, and infrastructure management to keep systems running reliably. I understand networking from both the hands-on systems administration side and the application development perspective, giving me a well-rounded view of how network concepts apply in real-world business and engineering contexts.
React

React

I've built production React applications across multiple companies including Capital One, Under Armour, and MetLife, working on customer-facing interfaces and internal tools that handle real user traffic and business-critical functions. My experience spans the full React ecosystem including state management, component architecture, API integration, and deploying applications that need to perform reliably at scale. I understand both the theoretical concepts and the practical challenges of React development - from debugging render issues and optimizing performance to structuring large codebases that multiple developers can work on effectively. Whether you're learning React fundamentals, struggling with hooks and state management, or trying to understand how to build production-ready applications, I can help you develop the skills that actually matter in professional frontend development.
Computer Programming
General Computer
HTML
JavaScript
Python
Nora H.'s Photo

Questions? Contact Nora before you book.

Still have questions?

Contact Nora
Hourly Rate: $90
Contact Nora