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A seasoned Data Engineers, DevOps Engineers, and Database Architects with two decades of experience in designing, optimizing, and managing high-performance data systems. The focus is on developing reliable data pipelines, architecting scalable and resilient databases, and deploying cloud-native solutions to enable real-time analytics and enterprise-level data processing.
Data Engineering & Architecture:
Proficiency in Python and SQL, with extensive experience in ETL/ELT frameworks including Debezium, Kafka, Greenplum, and Hadoop, enabling robust real-time data streaming and analytics.
Database Administration & Optimization:
Over 20 years of experience managing SQL Server, PostgreSQL, and distributed databases, with deep expertise in query optimization, high availability configurations, and disaster recovery strategies.
DevOps & Cloud Solutions:
10+ years expertise in Docker, Kubernetes, Terraform, Ansible, and cloud platforms such as AWS and GCP. Skilled in implementing infrastructure as code (IaC) and building efficient CI/CD pipelines.
Microservices & Automation:
Development of containerized, event-driven microservices and adoption of GitOps workflows for building scalable and resilient data platforms.
Performance & Security:
Advanced knowledge of indexing techniques, data partitioning, replication, and compliance with regulatory standards such as GDPR and HIPAA.
This portfolio reflects a results-oriented engineering approach focused on data-driven innovation, cloud transformation, and automation—bridging the gap between data, DevOps, and engineering excellence.