- Proficiency in Databricks platform, management, and optimization.
- Strong experience in AWS Cloud, particularly in data engineering and administration, with expertise in Apache Spark, S3, Athena, Glue, Kafka, Lambda, Redshift, and RDS.
- Proven experience in data engineering performance tuning and analytical understanding in business and program contexts.
- Solid experience in Python development, specifically in pySpark within the AWS Cloud setting, including experience with Terraform.