Philip Rainsberger

Philip Rainsberger has over 20 years of experience in the technology and data management field. Philip currently works as the Microsoft Azure Sales Director at Datavail, a Microsoft partner and technology consulting firm. Prior to this, Philip held senior account executive roles at 3Cloud and Applied Cloud Systems. Philip also has a strong background in strategy, customer experience, and sales, having worked as the Director of Strategy & Customer Experience and Director/Sales at Tier1, Inc. Additionally, they have experience as an Oracle DBA and developer at Corporate Solutions and as a senior sales engineer at EMC. Philip began their career as an Oracle developer at Paragon Solutions.

Philip Rainsberger's education history begins with their high school education at Hampton High, where they studied from 1989 to 1992. Philip then pursued a Bachelor of Science (BS) degree in Information Science at the University of Pittsburgh from 1993 to 1997.

In addition to their formal education, Philip has obtained several certifications related to data engineering and analysis. These certifications were obtained through Coursera and include:

- Azure Data Lake Storage Gen2 and Data Streaming Solution (May 2023)

- Microsoft Azure Data Engineering Associate (DP-203) Specialization (May 2023)

- Microsoft Azure Databricks for Data Engineering (April 2023)

- Data Warehousing with Microsoft Azure Synapse Analytics (March 2023)

- Operational Analytics with Microsoft Azure Synapse Analytics (March 2023)

- Data Engineering with MS Azure Synapse Apache Spark Pools (March 2023)

- Introduction to Microsoft Azure Synapse Analytics (March 2023)

- Data Integration with Microsoft Azure Data Factory (February 2023)

- Data Storage in Microsoft Azure (February 2023)

- Microsoft Azure for Data Engineering (February 2023)

- Applied Data Science Capstone (January 2023)

- Data Visualization with Python (January 2023)

- IBM Data Science Specialization (January 2023)

- Machine Learning Introduction for Everyone (with Honors) (January 2023)

- Machine Learning with Python (January 2023)

- Data Science Methodology (December 2022)

- Data Analysis with Python (December 2022)

- Databases and SQL for Data Science with Python (with Honors) (December 2022)

- Python Project for Data Science (December 2022)

- Python for Data Science, AI & Development (December 2022)

It is important to note that no specific field of study or degree is mentioned beyond Philip's high school education and their BS in Information Science.