Marcos Marx
Forward Deployed Engineer at GrowthX AI
Santa Catarina, Brazil
Summary
🤩
Rockstar🎓
Top SchoolMarcos Marx is a forward-deployed engineer with 10 years of experience building data platforms, pipelines, and DevOps practices across startups and enterprise customers in Brazil. He has led data engineering teams and owned end-to-end delivery—designing CI/CD, IaC, DataOps/MLOps workflows, and production tests for pipelines—while implementing a full-data solution for a major health insurer on Kubernetes and Oracle Cloud. Marcos has strong open-source credentials, contributing Airbyte and Apache Airflow integrations (hooks, operators, sensors, SDK refactors, tests, and docs) that improve ETL orchestration at scale. He also brings developer-community leadership from roles at Airbyte—running a 20k+ user Slack, hackathons, and an AI assistant bot to boost support response. Comfortable shifting between hands-on engineering and community-facing programs, he blends electrical-engineering roots with practical data-science and backend expertise.
10 years of coding experience
6 years of employment as a software developer
Graduação, Electrical Engineering, Graduação, Electrical Engineering at Católica de Santa Catarina - Centro Universitário
Portuguese, English
Github Skills (23)
apim10
oracles10
data-pipelines10
python10
airbyte10
data-engineering10
workflow-engine10
apache10
java10
javas10
oracle10
api10
sql10
airflow10
orchestration10
Programming languages (8)
Github contributions (5)
airbytehq/airbyte
Mar 2021 - Jan 2023
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:3212 reviews, 300 commits, 2791 PRs in 1 year 10 months
Contributions summary:Marcos contributed to adding support for the Source Oracle data integration platform by adding a new stream with Oracle as the source. The user's work included modifying and expanding existing test fixtures and creating/modifying SQL queries using the appropriate database specific commands. Further contributions involved handling specific data types. They also implemented SSL for Postgres source/destination and added relevant configurations.
operationpythondataintegration-platformdata-warehouse
apache/airflow
Feb 2021 - Sep 2024
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:Data Engineer
Data EngineerContributions:63 reviews, 5 PRs, 103 comments in 3 years 7 months
Contributions summary:Marcos contributed primarily to the Airbyte provider, focusing on integrating it with Apache Airflow. Their work involved adding hooks, operators, and sensors to interact with the Airbyte API. The user also refactored code to utilize the Airbyte API Python SDK, improving the provider's functionality and efficiency. They also addressed documentation, implemented unit tests, and handled dependency updates for the provider.
monitorpythonschedulerapacheprogrammatically
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