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Nihal kr SinghNS
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Nihal kr Singh

@nihalkrsingh

I build fault-tolerant cloud data pipelines and APIs for media, banking, and healthcare platforms.

India
Message

What I'm looking for

I'm looking to lead hands-on data engineering work that turns complex requirements into production-ready cloud pipelines, analytics platforms, and APIs while improving governance, performance, and delivery speed.

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

NL
Current

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.

IL

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.

KL

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 logoRV

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.

SS

SSVM

Senior Secondary, General Studies

Grade: 82.20%

Completed Class XII (Senior Secondary) from CBSE Board with 82.20%.

SS

SSVM

Secondary School, General Studies

Grade: 8.4 CGPA

Completed Class X (Secondary School) from CBSE Board with 8.4 CGPA.

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