Summary
Tharindra Paranagama is a data engineer with nine years of experience building scalable, serverless AWS data pipelines and centralized data lakes that power analytics and reporting. He has hands-on expertise with Lambda, Glue, Athena, QuickSight, DynamoDB and CI/CD tooling, and brings practical knowledge of DBT, partitioning and storage optimization to maintain high-performance ETL workflows. His background spans financial and enterprise domains—from PwC audits to Capital One integrations and now the Federal Reserve Bank of Richmond—giving him strong data governance and secure-integration instincts, including implementing Secrets Manager and Cognito-based API access. Tharindra pairs operational rigor (execution metrics, alerts, and logging) with developer enablement, routinely documenting systems and training teammates to reduce mean-time-to-repair. Outside the pipeline, he combines a software engineering foundation (full-stack and ML internship roots) with a penchant for pragmatic automation that turns complex data requirements into auditable, maintainable solutions.
9 years of coding experience
7 years of employment as a software developer
Diploma in Accounting, Accounting, Diploma in Accounting, Accounting at ACCA
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at General Sir John Kotelawala Defence University
Bachelor's degree, Applied Accounting, Bachelor's degree, Applied Accounting at Oxford Brookes University
English, Sinhalese