Partha Nandan Mohanty

Overview
Designed a high-throughput data transfer and processing platform on Oracle Cloud Infrastructure HPC. By leveraging bare metal compute instances with local NVMe storage and 100 Gbps cluster networking, achieved up to 500 GB/s aggregate file throughput, 1.2 GB/s ingest rates, and sub-second latencies for complex workloads.

Software Development
Engineered and optimized large-scale distributed systems in Python (using asyncio and multiprocessing), Java (leveraging concurrency APIs and collections), and C++ (applying low-level performance optimizations). Consistently delivered low-latency, high-throughput solutions in production, meeting performance SLAs under heavy workloads.

Team Leadership & Mentorship
Leading a team of seven developers, conducting code and design reviews to ensure best practices. Mentored junior engineers in debugging, performance optimization, and clean coding principles, enhancing overall team efficiency.

• Was involved in designing and developing a Database build provisioning software by following LEAN sdlc .This is based on Django framework and primarily used to orchestrate Database build activities and LOB specific data flow requests.
• Experienced in designing , developing and deploying full stack applications based on Python in internal cloud platform based on cloud foundry.
• Currently leading a five member team whose primary objective is to design and develop automated solutions across the firm based on API first approach .
• Experienced in creating automation services using flask and MVT model(Django)

Dealt with the migration of existing data and functionality of current LOB to a new LOB.

Responsibilities :

• Risk and impact analysis for system integration of applications ensuring error -free integration,
• Developing API endpoints for existing data for equity markets based on region (APAC,NA,EMEA)
• Created a Framework in Python for batch file processing .
• Automating System integration test for 15 upstream & downstream systems. Leading and collaborating with multiple teams for defect resolutions. Improved and enhanced business functionality .
• Created a orchestrated pipeline in Python for smooth flow of data across application .
  

Deals with analysis and research for the design flaw or existing bug in the application. The main motive of the project is to reduce support incidents by modifying the application.

Responsibilities:
1. Design validation, Incident analysis and verification of dependencies and assumptions.
2. Developing and modifying Python , C++ and perl modules.
3. Involved in analyzing and debugging PLSQL and SQL related modules.
4. Involved in supporting the production application.
5. Documentation of processes, reporting of status and review calls walkthrough to client