
PRINCE NANDHA
@princenandha
Data Engineer at UBS building PySpark trade surveillance pipelines that cut processing time by 98%.
What I'm looking for
At UBS Business Solutions (India) Pvt. Ltd., I engineered a PySpark trade surveillance pipeline that processes 10M+ records with 50+ parallel compliance checks, reducing runtime by 98% within a 5-person team.
I designed a modular ETL framework for compliance logic and orchestrated workflows with Databricks Workflow Pipelines. The platform uses Delta Lake and Azure SQL to store validated trade alerts, helping reduce false positives by 80%.
I also built an AI-powered PySpark unit test generation agent that cut manual test development effort by 50%. Automated XML compliance reporting integrated with ADLS Gen2 eliminated 95% of manual reporting effort.
Earlier, as a Technical Analyst Intern at Credit Suisse AG Service, I built Java Spring Boot microservices and integrated Apache Ignite caching. My project work includes a deepfake video detection model that achieved 96% accuracy.
Experience
Work history, roles, and key accomplishments
Data Engineer
UBS Business Solutions (India) Pvt. Ltd.
Jul 2023 - Present (3 years 3 months)
Engineered optimized ETL pipelines for trade surveillance, reducing run time by 98% and false positives by 80%. Built AI-powered unit test generation and modular ETL frameworks, and led knowledge-sharing sessions.
Technical Analyst Intern
Credit Suisse AG Service
May 2022 - Jul 2022 (2 months)
Built Java Spring Boot microservices improving reliability by 40% and reducing downtime by 30%. Integrated Apache Ignite caching, cutting response time by 60% and increasing throughput by 3x.
Education
Degrees, certifications, and relevant coursework
Microsoft
Microsoft Azure Fundamentals (AZ-900), Cloud Fundamentals
2023 - 2023
Earned the Microsoft Azure Fundamentals (AZ-900) certification.
Sardar Vallabhbhai National Institute of Technology, Surat
Bachelor of Technology, Computer Science and Engineering
2019 - 2023
Grade: 8.57/10.0
Pursued a Bachelor of Technology in Computer Science and Engineering, achieving a GPA of 8.57/10.0.
DeepLearning.AI
Machine Learning Specialization, Machine Learning
2022 - 2022
Completed the Machine Learning Specialization offered by DeepLearning.AI on Coursera.
DeepLearning.AI
Deep Learning Specialization, Deep Learning
2022 - 2022
Completed the Deep Learning Specialization offered by DeepLearning.AI on Coursera.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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