Pinaki Bhattacharjee
Software Engg Lead at Optum
Hyderabad, Telangana, India
Summary
🤩
Rockstar🎓
Top SchoolPinaki Bhattacharjee is a pragmatic Software Engineering Lead with six years of full-stack experience building high-performance, cloud-native systems using Java/Spring Boot, React/Next.js, GraphQL/REST, and TypeScript. At Optum he progressed rapidly from TDP to engineering lead on CatalogAI and Enterprise Data Mesh projects, delivering a >95% performance improvement on key approval workflows and shipping complex governance features under tight deadlines. He combines deep backend and system-design expertise with hands-on DevOps on GCP and Azure, and a security-first mindset demonstrated by open-source contributions to the DataHub metadata platform fixing vulnerabilities and improving cryptographic handling. Actively exploring Generative AI, he builds intelligent agent systems with LangChain and LangGraph to add context-aware capabilities to product catalogs. Based in Hyderabad, he pairs curiosity and continuous learning with a track record of turning research-level ideas (5G/6G multi-connectivity during a Samsung R&D internship) into production-ready features.
6 years of coding experience
2 years of employment as a software developer
Kendriya Vidyalaya SangathanBachelor of Technology - BTech, Information Technology, Bachelor of Technology - BTech, Information Technology at Kalinga Institute of Industrial Technology, Bhubaneswar
Github Skills (11)
security10
javas10
java10
datahub10
amazon-elasticsearch9
elasticsearch-api9
aws-elasticsearch9
logging9
elasticsearchquery9
elasticsearch9
git8
Programming languages (8)
Github contributions (5)
datahub-project/datahub
Feb 2024 - Dec 2024
The Metadata Platform for your Data and AI Stack
Role in this project:
Back-end Developer & Security Engineer
Back-end Developer & Security EngineerContributions:6 reviews, 18 PRs, 17 comments in 10 months
Contributions summary:Pinaki primarily addressed security vulnerabilities and contributed to the stability of the DataHub platform. Their work involved fixing log injection issues and addressing information exposure through stack traces. They also worked on preventing overly permissive regex ranges and implementing security best practices related to sensitive information in logs and cryptographic algorithms. Furthermore, the user modified the codebase to support alternate hashing algorithms for document IDs.
data-managementdata-discoverydata-stackmodern-data-stackdata-catalog
pinakipb2/advanced-flask-magnews-website
Aug 2020 - Feb 2021
Flask Magnews - Free Highly Customizable Blog Website based on Flask (Python)
Contributions:1 release, 7 commits, 6 pushes in 6 months
pythonflaskhighly-customizablecustomizablepython-flask
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