"Data engineer experimenting with AI."
- ποΈ Data Engineer with a rich background in building robust data architectures and pipelines.
- π Started as a DWH developer, working with ETL tools like DataStage, Oracle, and Unix Shell scripting.
- βοΈ Evolved into cloud-native technologies, working on AWS, Azure, and distributed systems like Hadoop, Kafka, and Spark.
- π Specialized in creating data consumption pipelines, enabling analytics, and architecting solutions for complex business needs.
- π§ Currently diving into Generative AI and NLP to explore new possibilities.
- π§ Generative AI & NLP: Exploring applications that solve real-world challenges.
- π§ Problem-Solving: Tackling daily challenges brought by peers or identified in workflows.
- π οΈ Open Source: Always open to collaborate and contribute to impactful projects.
Check out my AI Innovations and Insights Newsletter for the latest trends in AI and practical insights into data engineering.
Feel free to reach out for collaboration or discussions!