A Data Professional who basically turns the chaos of raw data into dashboards that make sense (and that people actually use).
Currently, I spend my days orchestrating complex pipelines, mainly with public data, wrestling with Docker containers, and exploring the Hadoop ecosystem.
🛠️ What I work with:
Orchestration: I make the magic happen with Apache Airflow.
Big Data: I navigate the Hadoop ecosystem, using Spark, Hive, and NiFi to process volumes of data that Excel can’t even dream of opening.
Visualization: Strong expertise in Apache Superset, but I also speak the language of Power BI and Metabase.
Infrastructure: A Docker and containerized environments enthusiast, ensuring that “it works on my machine” also works on the server.
Engineering: Building bridges between raw data and intelligent decisions through Lakehouse/Warehouse architectures.
🚀 Current Challenge: Understanding the entire data journey, best practices in data governance and architecture, with a focus on consistent and trustworthy data visualization. Also, deepening my knowledge in Software Engineering and Machine Learning.
📫 Where to find me:
LinkedIn: dheymesribeiro
