🚀 Data Engineer
💻 Python | Spark | Databricks
- Data Engineer passionate about building scalable data pipelines and cloud solutions.
- Experienced in designing and optimizing big data workflows using Spark and Databricks.
- Skilled in Python programming for data processing, automation, and analytics.
- Proficient with AWS services for data storage, ETL, and orchestration.
- Always learning and exploring new technologies in the data ecosystem.
- Languages: Python, SQL, Typescript, Shell
- Big Data: Apache Spark, Databricks
- Cloud: AWS, Azure, GCP (in that order)
- Data Engineering: Batch / Streaming
- Tools: Git, Docker, Airflow, Kafka, Postgres