Swethaa M

• specializing in SQL, ETL Development and Java programming language
• Adept in multiple backend technologies, including Spring Boot, Microservices, Hadoop, Hive, Spark, and PuTTY.
• Experienced in API creation and integration, with foundational knowledge of AWS services to support cloud-based deployments and enhance backend functionality.
• Managed end-to-end data ingestion processes including Hive-to-Mongo and Hive-to-Hive pipelines. Developed control tables and automated data loading operations using PuTTY
• Engaged efficiently with team members for project planning, timelines and deliverable.
• Configured basic user access and roles using AWS Identity and Access Management (IAM), and monitored resource usage through AWS CloudWatch dashboards.
• Automated a substantial number of test cases using iCEDQ, significantly reducing manual effort and achieving complete success.
• Worked on TDD methodology and worked on Junits for code coverage, achieving 100%
• Demonstrated proficiency in query optimization techniques, which resulted in substantial reductions in query runtime, thereby enhancing overall system performance and efficiency.
• Independently established detailed Confluence pages and meticulously created comprehensive runbooks.
• Implemented consumption of RESTful APIs for fetching and presenting data, resulting in effective communication with backend services.

• Handled various production and SIT defects and led the production deployment.

• Debugged issues related to the integration of back-end services with client-side code.

• Backend Technologies - Hadoop, Hive, ETL, DCI-DCT, Putty
• Programming Languages Java, C, C++, C#, python
• Database Management: MySQL, MongoDB, SQL server
• Data Quality Tools: ICEDQ, JAWS
• Project Management: Agile methodology, Jira, confluence, SDLC