Data Stack Academy
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Built around a Cloud first curriculum and offering guaranteed internship for graduates. This bootcamp transforms any one to get a a job in the most in-demand field tech.
03/10/2022
Reminder
Join us for a FREE webinar TODAY at 10:30AM PST about 'Intro to Apache Airflow: Designing DAGs | 15 MINUTE WORKSHOP'.
Register here: https://www.eventbrite.com/e/268647049557
View live at: https://www.youtube.com/channel/UC60UW-1Es_xrOJKw2M4IYFQ/live
Intro to Apache Airflow: Designing DAGs | 15 MINUTE WORKSHOP Intro to Apache Airflow: Designing DAGs in 15 Minutes
02/16/2022
Join us and Epicodus TOMORROW Thursday, Feb 17th at 10:30AM PST for ‘Data Engineering: The Fastest-Growing Job in Technology’ and learn what Data Engineering is and how you can be a part of it--even if you are new to the tech world.
Why Data Engineering?
Dice Insights reported in 2019 that data engineering is a top trending job in the technology industry, beating out computer scientists, web designers, and database architects. LinkedIn listed it as one of its jobs on the rise in 2021 and has seen a 50% year-over-year growth in the number of open positions.
Register:
Data Engineering: The Fastest-Growing Job in Technology Data Engineering: The Fastest-Growing Job in Technology | How to Break into This In-Demand Industry
02/11/2022
Join us for our FREE webinar 'Data Engineering: The Fastest-Growing Job in Technology' next Thursday 10:30AM PST: https://www.eventbrite.com/e/265280429907
Data Engineering: The Fastest-Growing Job in Technology Data Engineering: The Fastest-Growing Job in Technology | How to Break into This In-Demand Industry
Team introductions continue!
Up next...
David Nielsen (Data Architect) is a curious and creative data wrangler. He first leveraged these skills designing machine-learning algorithms at NASA Ames, where he published research that was able to detect previously unknown safety risks in the national airspace. From there, David moved to Tura.io, where he expanded his data skills to big data and the cloud. As a consulting data architect and engineer, he has designed and built data pipelines using Apache Spark and built scalable machine learning solutions to critical industry challenges.
David earned his master’s degree in Computational Linguistics from the University of Washington. This field focuses the power of machine learning onto the complexity of natural language. He has used this to integrate natural language models into data pipelines. His current focus is Cloud Data Engineering where he leverages the power of cloud computing to build on-demand data pipelines.
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