Dec 2018 – Nov 2020 · 1 yr 11 mos

• Alongside 13 other members from companies such as Confluent, LinkedIn, Microsoft, Alibaba, I help organize the call for papers and review all the submissions to select the speakers at the three Kafka Summit of 2019 in New York, London and San Francisco.

Jul 2018 – Present · 7 yrs 8 mos

• We provide high-quality online training at https://courses.datacumulus.com/

Feb 2017 – Present · 9 yrs 1 mo

• 3M+ students on Udemy across 200+ countries, aiming to train 10M+ students
• #1 Udemy Business instructor
• Teaching AWS Certifications and Apache Kafka
• Meeting students while traveling on Instagram: https://www.instagram.com/stephanemaarek/
• The list of the courses with discounts can be found at: https://courses.datacumulus.com/

Aug 2016 – Jun 2018 · 1 yr 10 mos · Sydney, Australia

• Enabling enterprises to make better decisions by assisting them with exposing their real-time data.
• Guiding with decisions around Architecture, Development, Project Management and DevOps.
• Built a partnership between Simple Machines and Confluent.
• Technologies: Apache Kafka, Apache Spark, Docker, AWS, AWS Lambda, AWS CloudFormation, Ansible, AWS ECS, PostgreSQL, DevOps
• Languages: Scala, Python, Java

Jan 2016 – Jul 2016 · 6 mos · Sydney, Australia

• Assisted a real estate group with gathering and analysing their data to optimise the shopping experience in their shopping centres
• Assisted a telecommunications group with enabling real time streaming of IoT devices to a streaming platform. Built real time visualisations to monitor a race in a real time.
• Technologies: Python, SQL, Postgres, Tableau, Apache NiFi, RethinkDB

Aug 2013 – Nov 2015 · 2 yrs 3 mos · Greater New York City Area

• Advised over two years the pricing team of a big pharma group on how to make better decisions based on the usage of data. Built ETLs using SAS and reporting solutions using Spotfire. Assisted in monitoring the launch of a new oncology treatment
• Used data in an innovative way to enable a finance group increase the way they gather data and making sure it is financially accurate

Oct 2014 – Sep 2015 · 11 mos · Greater New York City Area

• Created an Android & iOS app live in NYC and Paris
• With the app, users are rating the individual dishes instead of the restaurant. I wanted to challenge the model that Yelp is relying on and provide users with better reviews and menu insights.