Rajasekar K

Software Developer – Payroll Systems

Major Features Developed

• Designed and implemented a new in-memory payroll processing system, improving overall payroll run-time efficiency by 40–50%.
• Optimized payroll data handling by limiting database interaction to input loading and output persistence, increasing system throughput.
• Built event-driven job orchestration and tracking, enabling real-time payroll process visibility in the UI.
• Integrated Kafka (data streaming), Redis (job state management), and Amazon S3 (scalable storage) to support efficient and fault-tolerant payroll processing.
• Applied serialization/deserialization techniques (Protobuf) for fast and efficient in-memory data transfer.

Day-to-Day Work

• Owned and delivered payroll modules including Bank Transfer, Journal Voucher (JV) Creation, and Claims, ensuring accuracy and compliance.
• Developed and maintained RESTful APIs to support payroll workflows and system integrations.
• Created and optimized BIRT reports using PostgreSQL, improving reporting speed and accuracy.
• Optimized SQL queries to enhance payroll system performance and reduce report generation time.
• Handled daily support by closing an average of 7–8 Jira tickets while contributing to feature development.

Impact:

• Improved scalability to process 100k+ employee datasets efficiently.
• Increased payroll transparency and accuracy with real-time reporting and monitoring.
• Reduced manual effort and error rates through automation and query.

• Guided 100s of students in building full-stack projects using Java, Spring Boot and MySQL.
• Conducted daily stand-ups and pair programming sessions focused on Core Java and Data Structures & Algorithms for effective doubt resolution.
• Collaborated with the curriculum team to enhance content quality and improve overall program efficiency.

Expertise in Market Research Industry, E-Commerce –

Associated with The Nielsen IQ(US) Great exposure in North American Retail Industry and Fast Moving Consumer goods