Jonathan Lay Email & Phone Number

Texas, United States

Mclean, Va, Us

I am currently working with Credit Risk Management (CRM) to modernize and maintain a loss forecasting platform. This platform enables Analysts to run ad-hoc jobs to predict scenarios and understand the reason for the predicted risk. The platform's ecosystem revolves around Apache Airflow, AWS EMR, and AWS EC2. I initiated and implemented the following to move the platform to a well-managed state: dockerizing business processes, Serverless applications with Lambda, automated upstream Docker images for vulnerability management, and much more.

New York, Ny, Us

Worked with Cigna/Evernorth as a Software Engineer to architect and implement a data governance, access, and protection solution with various tools. This solution will be used for all of Cigna Enterprise because it will provide access and security for all data based on roles and attributes. Prior to the data governance, access, and protection I helped with the development of a data sensitivity classification application. The purpose of the application is to pull metadata from all of the enterprise's database sources and then classify the data on their data sensitivity and risk. This would also be mapped to applications within the enterprise based on their configuration management information.

Mclean, Va, Us

I began working as a Data Engineer at Capital One under Wipro Limited at the tail end of their data migration project. I worked with their ETL data pipeline to help move the company's data to the Cloud. Along with supporting the migration, I was tasked to help develop a Java framework to mock production-grade data to allow other teams to use the mocked-data for development testing, lead the development of a Continuous Integration and Continuous Deployment API framework, based in Java, that will help teams move their work to production faster, and refactor multiple Python 2 ETL frameworks to Python 3. I soon transitioned to be a Data Analyst and I am now building compartmentalized SQL queries to capture key performance indicators as metric tables for business users. With this I am exploring and validating data requests with Pandas. I have also worked directly with business users to understand their data requests which have resulted with automating manual processes with Automation Anywhere and user-friendly Tableau dashboards.

Bangalore, Karnataka, In

During this period, I was undergoing training provided by Wipro Limited to brush up and refine my programming skills like Java, Python, and SQL, learn about new topics such as Big Data, and learn about new tools and technologies that are used in the industry such as Snowflake.