June 29, 2018
TABLE OF CONTENTS
Engineering Capability Lead
Senior Cloud Consultant
Stevie Palmateer is Levvel’s Engineering Capability Lead and is responsible for managing the processes and people within the Engineering Capability to ensure quality work is delivered to Levvel’s clients. Stevie also assists in leading research, strategy, and development opportunities for Levvel’s Engineering Capability. Stevie has over 9 years of experience in the design, development, and deployment of software for Fortune 500 companies. She’s a full stack application developer and solutions architect who is passionate about bridging the gap between product design and technical strategy. When not working on a technology project, she is actively mentoring and guiding young females to succeed in STEM.
Ben is a data scientist and AWS Certified Solutions Architect and Developer. As an analyst and data scientist, he has worked in the retail, banking and automotive industries in consulting and practitioner capacities. In his work as an cloud consultant, he has advised Fortune 50 banks, written a Python library for multiple-account management, and created big-data and machine-learning pipelines for nationally-recognized media brands. He holds an M.S. in Economics and lives in New York City.
As an accredited OpenShift delivery specialist, Surya has worked with many clients who are either getting started on a private, public, or hybrid container strategy with CI/CD, or further along but have hit a bump or two along the way and are looking for experienced professionals to evaluate and address their concerns. Surya is interested in meeting people within the DevOps community and learning from their experiences.
API design is crucial, giving structure to application interaction. Given cross-functional teams and applications, development time is reduced with a clear, intuitive way to access data. API development often follows two approaches: REST and GraphQL.
As of June 2018, the state of California passed a new privacy law that could lead to more consequences for US-based companies than the European Union’s General Data Protection Regulation (GDPR). Here's what you need to know and how to be compliant.
Before your data scientists wring value out of your reams of data, it has to be accessible and, on some basic level, coherently arranged. To harness all that brainpower, you need to keep the data wrangling to a minimum. Enter the data lake.
Legacy applications get no respect. The developers who wrote them have aged out and no new developers want to work on career-killing software stacks. But they are still faithfully doing the job they were created to do long ago. So what's the problem?