Cloud Data Platform / DataOps

• Cloud Platform Engineering with strong focus on reliability, scalability, and automation
• AWS-native and Azure cloud-native solutions, supporting hybrid and multi-cloud environments
• DataOps practices including CI/CD for data pipelines, automated testing, and operational monitoring
• Job scheduling & orchestration, including upgrade and modernization of legacy schedulers
• Monitoring & observability using tools like Dynatrace for performance, reliability, and cost optimization
• Cloud upgrade & migration paths, enabling smooth transition to modern data platforms
• Platform engineering best practices, including security, governance, and IAM design

Technologies & Tools:

AWS, Azure, ADF, Synapse, ADLS, Glue, S3, IAM, Monitoring & Scheduling, DataOps