Gowtham Chandrasekar

Database Migration NoSQL to SQL:

• Played pivotal role in successful migration of Java-based ETL and Maintenance applications from direct access to AWS DynamoDB to Postgres via microservices, resulting in improved database performance and reduced coupling with data layer.
• Played pivotal role in creating two new Spark jobs using AWS Glue, contributing to seamless data export from application DB to Data Lake
• Demonstrated strong Python skills by writing series of data cleanup scripts as part of data migration process, ensuring data integrity during migration.

Global Data Unification:

• Architecturally redesigned critical Spring Boot-based microservice database layer to support multi-tenancy, enabling acceptance of user requests from different countries, crucial factor for global operations.
• Developed several new APIs to support Global Data Unification, contributing to overall success of project.

Migration of Python Lambda from SQL calls to API calls:

• Spearheaded transformation of Python-based AWS Lambdas, replacing direct SQL query execution with available CRUD APIs, showcasing problem-solving skills by converting query logic to API data manipulation.

Other Achievements:

• Demonstrated Java proficiency by writing monitoring and quality check lambdas, contributing to system reliability and performance.
• Innovatively created data obfuscation lambda, enhancing data privacy and security by identifying and masking user personal data.
• Implemented critical SQL user function which replicated an complicated microservices PUT and POST logic.

Enhanced and Maintained Java Batch Application:

• Ensured uninterrupted operations by applying fixes and introducing new features to critical Java-based batch processing application.

Automated Monitoring Tasks with SHELL Scripts:

• Reduced manual workload significantly by developing list of Shell-based scripts for automated monitoring tasks through CRON jobs

Collaborative Cross-Team Integration and Testing:

• Collaborated seamlessly with cross-functional teams to facilitate integration, development, and end-to-end testing. Thus ensured seamless flow of data across systems.

Custom Report Generation with SQL:

• Leveraged SQL proficiency to extract and provide meaningful reports to customers and business