Krishna D.
Software Engineer @ Bloomberg | Data Infrastructure, System Integration, Validation at Scale
- Role
- Senior Software Engineer at Bloomberg
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
About Krishna D.
I’m a software engineer focused on building reliable data infrastructure and integration systems for complex, real-world workflows.At Bloomberg, I work on production systems that unify fragmented data sources, translate domain-heavy logic into deployable software, and validate changes against real production artifacts. I enjoy owning ambiguous problems end-to-end; from design and migration to tooling, validation, and stakeholder adoption.I’m especially interested in roles where engineering sits close to real users, messy legacy systems, and high correctness requirements, and where building the right abstractions can dramatically improve speed and trust.Reach out to chat about ideas, opportunities, and initiatives. I also enjoy film and theatre.
Experience
Senior Software Engineer
Mar 2024 — Present · New York, NY, US
I build and operate production data infrastructure for ESG and Government Climate products, focusing on system integration, validation, and reliability under real-world constraints.• Own production pipelines generating ESG and climate scores across thousands of entities, with strict correctness, auditability, and SLA requirements.• Designed and built automated validation and replay frameworks that reprocess real production artifacts across environments, reducing feedback loops from days to minutes.• Built parameter ingestion and synchronization pipelines across Dev, Beta, and Prod with human-in-the-loop approval, diffs, and full audit trails.• Unified fragmented workflows across Research, Product, and Engineering by designing clear interfaces and integration boundaries for complex domain logic.• Led modernization of large legacy Python systems (350k+ LOC), upgrading runtimes and dependencies while improving CI safeguards and release discipline.• Developed internal tooling and dashboards that replaced manual data inspection, improving transparency and reducing validation time from days to under an hour.• Act as the technical bridge between complex domain logic and production systems, enabling stakeholders to reason about edge cases, tradeoffs, and failure modes during releases.• Present internally on scalable testing, validation, and reliability for complex data pipelines.
Education
Sri Kumaran Children's Home - CBSE
Grade 10+2, PCM+Cs
2009 — 2017
Birla Institute of Technology and Science, Pilani
Bachelor of Engineering - BE, Computer Science
2017 — 2021
Cornell Tech
Master of Engineering - MEng, Computer Science
2021 — 2022
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