
Pandyan Mahalingam
@pandyanmahalingam
Database Engineer at PDI automating AWS Aurora PostgreSQL operations and monitoring ETL pipelines with AWS Glue.
What I'm looking for
At PDI, I automate database operations across AWS Aurora PostgreSQL, PostgreSQL, SQL Server, MySQL, and Redshift. I also built and maintain AWS Glue ETL monitoring to catch pipeline failures and data issues.
I’m the sole database owner for a loyalty-program-critical system, managing its performance, availability, and data integrity without a dedicated team. I replaced recurring administrative tasks with scripted, repeatable automation.
At KGiSL Technologies, I led database administration for financial services, banking, and government clients. I designed high-availability and disaster-recovery strategies, supported database migrations and upgrades, and implemented security controls including TDE, HIPAA, PCI, and PII requirements.
Experience
Work history, roles, and key accomplishments
Database Engineer III
PDI
Jan 2024 - Present (2 years 10 months)
Automated manual database operations including user on/off-boarding, partitioning, archival, and performance maintenance across AWS Aurora PostgreSQL, PostgreSQL, SQL Server, MySQL, and Redshift. Built ETL monitoring with AWS Glue and owned a loyalty-program-critical database with zero-downtime requirements.
Project Lead – Database (Lead DBA)
KGiSL Technologies
Sep 2013 - Jan 2024 (10 years 4 months)
Led database administration for financial services, banking, and government clients, implementing high availability and disaster recovery strategies. Migrated and upgraded databases on-premise and to AWS/Azure, and enforced security controls including encryption and compliance.
Education
Degrees, certifications, and relevant coursework
Kgisl Institute of Technology
Bachelor of Engineering, Computer Science
Bachelor of Engineering in Computer Science from Kgisl Institute of Technology, Coimbatore, completed in 2013.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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