- Spearheaded the redesign of data warehousing solutions, improving
- 20
- Managed a team of 10 data engineers, enhancing productivity by
- 40% through focused training and skill development
- Established real-time data processing frameworks with Apache
- Kafka and Spark, halving data latency
- Engineered ETL pipelines using Python and SQL to ensure seamless
- Leveraged Amazon Redshift and Snowflake for scalable data
- Utilized cloud platforms (AWS, Google Cloud, Azure) to deploy
- Streamlined infrastructure management with Terraform and CloudFormation, reducing operational overhead and improving