Santosh Kumar Sana is a seasoned Senior Database Administrator with over 10 years of experience specializing in MySQL, MongoDB, PostgreSQL, and cloud technologies such as AWS and Azure. His expertise spans across database maintenance, production support, data migration, and performance tuning, with a strong focus on both relational and non-relational database systems. He has extensive experience working with cloud-based infrastructures, particularly AWS services like EC2, RDS, S3, and Route53, as well as Azure services like Data Factory and Azure PostgreSQL. Santosh has successfully led complex database migrations from on-premises to cloud platforms, ensuring minimal downtime and improved system performance.
In addition to his cloud expertise, Santosh is proficient in automating database tasks using scripting languages such as Python, Shell, and PowerShell, alongside tools like Ansible, Chef, Terraform, and Jenkins. His technical abilities in performance tuning, backup strategies, and database security, combined with his experience with monitoring tools like MySQL Enterprise and Percona, ensure high availability and optimal performance for mission-critical databases. Santosh is also skilled in data governance, database design, and capacity planning, providing ongoing support for complex data processing workflows and collaborative projects across diverse environments.
Experienced Data Platform Engineer specializing in architecting scalable, multi-region database solutions for mission-critical applications. Proven expertise in cloud-native database modernization, automation, and performance optimization across PostgreSQL, MongoDB, and Azure ecosystems.
Holding a Master’s degree in Electrical and Computer Engineering from the University of Dayton, Ohio, Santosh has worked with an array of technologies including MySQL, MongoDB, PostgreSQL, Kafka, Zookeeper, Hadoop, and various cloud platforms. His career reflects a strong commitment to quality and customer service, making him a trusted expert in database management and optimization.