Nihal kr Singh
@nihalkrsingh
I build fault-tolerant cloud data pipelines and APIs for media, banking, and healthcare platforms.
What I'm looking for
At Nielsen Media, I lead production engineering for high-scale analytics engines, identity resolution, and data retention strategies for cookie-less audience recognition across global media platforms. I also accelerated feature delivery 3x using Cursor and Kiro for multi-file refactoring, specification generation, and test suites.
Previously, I led data engineering modernization for a Fortune 500 retail banking client at Incedo, optimizing distributed Spark workloads to reduce runtime and cloud overhead. At Knowledge Lens, I engineered clinical-trial compliance systems, serverless pipelines, master-data pipelines, database schemas, and operational workflow automation for global pharmaceutical clients.
Experience
Work history, roles, and key accomplishments
Senior Member of Technical Staff
Nielsen Media India Pvt Ltd
Aug 2024 - Present (2 years)
Leading requirement-gathering phases and driving hands-on production engineering for high-scale analytics engines. Working on identity resolution frameworks and automated data retention strategies for cookie-less audience recognition.
Technology Lead
Incedo Technology Solutions Limited
Sep 2021 - Aug 2024 (2 years 11 months)
Led complex data engineering sprints and tech-stack modernizations for a Fortune 500 US retail banking client. Audited and optimized resource-intensive Spark jobs, resulting in massive runtime shrinkages and minimized cloud infrastructure costs.
Technology Lead
Knowledge Lens Pvt Ltd
Jan 2018 - Aug 2021 (3 years 7 months)
Designed and engineered multi-layered clinical trial compliance systems, serverless pipelines, and master data pipelines for global pharmaceutical companies. Automated operational workflows and structured high-performance database schemas.
Education
Degrees, certifications, and relevant coursework
Rajiv Gandhi Proudyogiki Vishwavidyalaya
Bachelor of Engineering, Computer Science and Engineering
Grade: 8.32 CGPA
Completed Bachelor of Engineering in Computer Science and Engineering with a CGPA of 8.32.
SSVM
Senior Secondary, General Studies
Grade: 82.20%
Completed Class XII (Senior Secondary) from CBSE Board with 82.20%.
SSVM
Secondary School, General Studies
Grade: 8.4 CGPA
Completed Class X (Secondary School) from CBSE Board with 8.4 CGPA.
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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