Summary
Overview
Work History
Education
Skills
Websites
Certification
Timeline
Generic

Tharindra Paranagama

Henrico,VA

Summary

Experienced with designing and optimizing data pipelines to ensure seamless data flow. Utilizes advanced SQL and Python skills to create and maintain robust data architectures. Track record of implementing scalable solutions that enhance data integrity and support informed decision-making.

Overview

5
5
years of professional experience
1
1
Certification

Work History

Data Engineer

Federal Reserve Bank of Richmond
Richmond, VA
03.2026 - Current
  • Built efficient workflows using Spark, Python, DBT, and AWS while migrating on-prem tasks to the cloud.
  • Designed and implemented ETL processes to streamline data integration across various platforms.
  • Collaborated on ETL tasks to ensure data integrity and pipeline stability.
  • Established monitoring processes that improved detection of system anomalies.

Senior Data Engineer

Richmond National
Richmond, VA
06.2022 - 03.2026
  • Working with AWS cloud services such as Lambda, Step Functions, API Gateway, S3, DynamoDB, Quicksight, Athena, Glue, RDS to build backed business logic to support business requirements.
  • Integrated internal and external data sources, facilitating the onboarding of external data into company Data Lake.
  • Executed data movement tasks by building integrations, transforming data, and storing it efficiently for reporting needs.
  • Utilized stream processing and batch processing techniques to manage data workflows.
  • Demonstrated expertise in implementing event-driven and scheduled data processing patterns.
  • Analyzed business requirements and developed strategies for onboarding key data sources to enhance downstream consumption.
  • Worked with SQL and NoSQL databases to support data storage needs.
  • Designed and maintained AWS QuickSight dashboards, enabling effective reporting and analytical capabilities for various departments.
  • Utilized Infrastructure as Code (IaC) tools like CloudFormation and Terraform for deployment.
  • Engaged with CI/CD pipelines in an Agile environment to facilitate cross-team collaboration.

Project Consultant

Capital One
Richmond, VA
10.2021 - 04.2022
  • Automated data extraction and integration with SEC reporting platform (Workiva) using OneLake SDK and OneStreamPy API, enhancing reporting efficiency through streamlined processes.
  • Understood the client’s SEC Reporting requirements via client SME meetups and existing documentation review.
  • Analyzed data and created visualizations using Redash and Amazon QuickSight to meet external project requirements, improving stakeholder insights.
  • Supported an enterprise effort to streamline the data flow pipeline with a cleaner and efficient implementation that leads to process efficiencies by leveraging platforms such as the Finance Platform (Centralized Enterprise Computation Platform) and the Finance Data Refinery (Centralized Enterprise Data Hub).
  • Oversaw team performance and ensured adherence to agile principles within Jira, facilitating effective management of agile development work.

Education

Bachelor's degree - Applied Accounting

Oxford Brookes University
12-2019

Bachelor's degree - Computer Science

General Sir John Kotelawala Defence University
12-2017

Skills

  • Data pipeline design
  • ETL development
  • Data modeling
  • SQL
  • Python
  • Spark
  • Databricks
  • AWS
  • Terraform
  • API Integration
  • CI/CD
  • GitHub
  • Unit Testing
  • Data Visualization
  • Agile Development
  • DBT

Certification

  • AWS Certified Data Engineer Associate, AWS, July 2024 www.credly.com/badges/08d...
  • AWS Certified Cloud Practitioner, AWS, October 2025 www.credly.com/earner/ear...

Timeline

Data Engineer

Federal Reserve Bank of Richmond
03.2026 - Current

Senior Data Engineer

Richmond National
06.2022 - 03.2026

Project Consultant

Capital One
10.2021 - 04.2022

Bachelor's degree - Computer Science

General Sir John Kotelawala Defence University

Bachelor's degree - Applied Accounting

Oxford Brookes University