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Marcus Rehm

Data Engineer

Employed Available
Software Engineer with track record of solutions that result in aggregate value. Aware of trends and always eager to learn new skills. Self-starter and autodidact. Open source advocate, user and contributor.

During my career I was able to work with requirements gathering, design, modeling and development in a variety of applications.

Over the past few years, I started to work with Business Intelligence and Data Engineering and the evolved skills related to software development helped me create high quality data products.

I also contributed with some open source projects like Apache Airflow, a platform to create, schedule and monitor data workflows (creating operators for Oracle and Azure integration); MLFLow, an open source framework to help ML projects life cycle management (bug fixes and running on experiments on docker containers) and Serenata de Amor, a data science project related to corruption fighting in Brazil (deploy Neo4j on docker containers so people can make graph analysis) and DbFit, a test-driven database development framework.

I love to think, design and materialize things that help people improve their everyday tasks. It's more than just make software, it's about causing impact, changing people lives while delivering their dreams.

Github:
github.com/marcusrehm
LinkedIn:
linkedin.com/in/marcusrehm
Resume created on DoYouBuzz

Lead Data Engineer

BRK Ambiental
January 2016 to June 2019
  • Led the data engineering and analytics team of BRK Ambiental, driving users adoption of data products and exploring ways to promote data driven culture inside company.
  • Designed and deployed the data pipeline using Apache Airflow, Apache Spark (Databricks) and Azure Data Lake, enabling the company to work with more complex scenarios and machine learning solutions.
  • Developed an anomaly detection model using Tensorflow and Keras to alert our unities about issues in water supply shortening the time to action.
  • Researching of new technologies, frameworks and platforms to improve our processes.