Developing courses, presentations, books, and other training material for those interested in starting or advancing a career in cloud computing, data engineering, data analytics, and data science.

Focusing on all aspects of data, from data architecture to data analytics.

- Google Development Groups, Capital Region NY US and Nuremberg Germany, June, 2020 Preparing for the Google Cloud Associate Engineer Certification Exam- MLOps Meetup May 2020 Why data scientists should know data engineering - Digital Native Podcast, April 2020. Google Cloud Certifications.- ODSC East 2020. April 2020 SQL for Data Science Deep Dive- O’Reilly Live Training, March 2020 GCP Certification Prep Crash Course: Associate Certified Cloud Engineer

Design and record data science and machine learning courses, including:● Advanced SQL for Data Scientists● Advanced SQL Query Performance Tuning● Advanced SQL Time Series Analysis● Spark for Machine Learning● NoSQL for Data Science● Scala for Data Science● Cassandra Data Modeling● DevOps for Data Scientists

Author or Official Google Cloud Certified Professional Cloud Architect Study Guide (2019),Official Google Cloud Certified Associate Cloud Engineer Study Guide (2019), and Official Google Cloud Certified Professional Data Engineer Study Guide (2020)

Architect working on machine learning, data science, stream processing, distributed databases, data architecture, machine learning, data science, NoSQL, big data, streaming data, Kafka, machine learning, scalable data, algorithms. Lead two communities of practice on data science and machine learning as well as scalable data.

Co-founder of a Software as a Service company providing bioinformatics and clinical data management services for the treatment of infectious diseases.

Bridge technology and business domains by writing content to assist decision-makers understand the value of emerging technologies related to analytics, data science, information security, and cloud computing.

Design and implement cloud-based solutions for data scientist using Apache Spark, Cassandra, and Amazon Web Services (AWS) cloud. Responsible for creating analytics architecture, collaborating with information security architects, and defining requirements with domain experts.Work with business executives to define data products for consumer and enterprise customersCreated predictive analytics and data warehouse architecture that complies HIPAA regulations. Lead three product development teams of 8 developers focused on mobile and Web applications for both consumer and business customers. Developed training program to build cloud computing and data science skills among existing staff of 40 IT professionals.Worked closely with InfoSec to ensure HIPAA compliance.

Lead application architecture, data integration and database security projects for a bioinformatics research group focused on cyberinfrastructure, infectious disease, and cardiovascular disease research. Lead computational biologist and project manager on 20 researcher, five university research collaboration investigating the genetics and proteomics of atherosclerosis. Managed overall research schedule and workflow of atherosclerosis studyCoordinated research efforts and managed dependencies across semi-autonomous teams to ensure key research steps were completed on time and on budget.Lead data integration, application architecture and database security projects for a for 20+ person bioinformatics research group focused on cyber infrastructure and infectious disease research. Wrote and contributed to multiple grants applications, including the largest grant awarded to Virginia Tech to that time ($27 million).Collaborated with over 50 researchers from multiple universities and research institutes to define metadata standard for human pathogen genetic sequences.

Provide business intelligence strategy, design and implementation consulting to Global 2000 firms.Designed data warehouse and BI applications using Oracle platformsDeveloped strategies and plans to consolidate multiple business intelligence effortsLead multiple development teams of business and technical experts.

Directed Data Warehousing practice focusing on Oracle business intelligence products. Developed client portfolio starting with pre-sales support, through strategy session and ultimately design and implementation.Designed all aspects of business intelligence application development, including design, quality control and product delivery.Trained consultants on data warehousing methodologies.