• 6 years of experience in software development with expertise in C, Pro*C, SQL, PL/SQL, and UNIX environments.
• Strong command of Oracle technologies including development of packages , procedures, functions, triggers , and advanced cursor management and exception handling .
• Hands-on experience in SQL and PL/SQL performance tuning to optimize application efficiency and reduce execution times.
• Skilled in cloud-native application development using AWS Lambda , API Gateway, and DynamoDB.
• Proficient in Python development , building reusable and testable code, integrating with third-party APIs, and supporting frontend-backend workflows.
• Experience in infrastructure automation and deployment using AWS services.
• Adept at query optimization, database tuning , and ensuring high availability and scalability of applications.
• Experienced in integrating Oracle PL/SQL systems with AWS services such as Lambda, S3, API Gateway, and DynamoDB to build scalable, cloud-native automation and reporting solutions.
Operating Systems: Unix (Sun Solaris 511), Windows XP/7
undefinedTitle : Derivatives Pricing & PnL Reporting System
Client : Goldman Sachs, UK
Software : Sun Solaris, Oracle 9i, 10g,11g,12c,19c (SQL and PL/SQL), Linux, Shell Scripting
Tools : Control-M, WinSCP, GIT, FileZilla, Beyond compare, Vi editor,
Putty, SQL Developer.
Team Size 7
Description :
Created a pricing and PnL reconciliation module for equity and credit derivatives. Integrated with front-office trading desks, pricing engines, and the general ledger. Provided real-time intraday valuation, Greeks calculation, and end-of-day PnL for risk and finance teams.
Responsibility:
· Created PL/SQL packages , procedures , and implemented ref cursors .
· Automated data loading and validations using shell scripting .
· Designed file handling and reporting using Pro*C .
· Wrote ad-hoc queries for business analysis and credit evaluations.
· Conducted internal knowledge-sharing sessions.
· Designed and maintained Pro*C programs for file-based ingestion of customer and loan data from external systems.
· Built report generation tools in Pro*C for regulatory and internal credit risk assessments.
· Developed Python-AWS Lambda integrations that triggered Oracle PL/SQL procedures
to analyze risk data on demand.
· Leveraged AWS DynamoDB to store metadata related to credit risk engines and report generation.
· Automated periodic uploads of Oracle-based credit reports to S3 buckets , applying encryption and access control.
· Design and implement relational database schemas , tables, indexes, and constraints using PostgreSQL.
· Develop and maintain functions, stored procedures, and views using PL/pgSQL.
· Migrate legacy databases to PostgreSQL, ensuring accurate data mapping and type conversion.