Sanjay

Sanjay

Open to

Bangalore

Work style

hybrid

Contact details — on requestProof of Work — on request

Experience

Nokia

Software Engineer

Nokia · Oct 2024 – Present

Not yet confirmed
  • At Nokia, I played a pivotal role as a Software Engineer, focusing on enhancing the debugging capabilities of the Optical Transport platform.
  • I developed a robust debugging framework in Node.js that significantly reduced resolution times and created tools for root-cause analysis that streamlined the on-call process.
  • My contributions included leading architecture reviews and designing internal REST APIs, which collectively improved system efficiency and team collaboration.
N

Software Development Engineer - Backend

Nokia (Infinera) · Oct 2024 – Present

Not yet confirmed
  • Owned and delivered a debugging framework for Optical Transport (GX platform) in Node.js, reducing mean time-to-resolution by 90% via structured log parsing, anomaly detection, and event-chain backtracking.
  • Developed root-cause analysis tooling that traversed complex system event chains, eliminating 3+ hours of manual log inspection per production issue and improving on-call engineer efficiency.
  • Led architecture reviews to identify failure-prone components and integrated targeted monitoring hooks, reducing recurring failure categories by 30%.
  • Designed and exposed internal REST APIs in Node.js consumed by cross-functional teams for real-time network state querying, replacing manual scripts and cutting inter-team response latency by 40%.
MAQ Software

Associate Software Engineer

MAQ Software · Feb 2024 – Sep 2024

Not yet confirmed
MAQ Software

Associate Software Engineer - Backend & Data

MAQ Software · Feb 2024 – Sep 2024

Not yet confirmed
  • Spearheaded Azure-based workflows (Data Factory, Logic Apps, Functions) to replace manual pipeline steps across the analytics platform, improving team throughput by 85%.
  • Built PySpark notebooks on Azure Databricks for dataset backup and point-in-time restore, reducing data-recovery errors by 50% and establishing reliable recovery SLAS.
  • Optimized slow-running SQL queries and Databricks job schedules in collaboration with data engineers, reducing average pipeline execution time by 35% and lowering cloud compute costs.

Skills 0 proven through work

Also works with

Database ViewsApplication DeploymentReal-Time Data FetchingDatabase Index CreationDatabricks UsageDatabase Query OptimizationPower BIData VisualizationQuery WritingBusiness Logic ImplementationPython DevelopmentData PreprocessingData EngineeringData TransformationJSON Data HandlingDatabase ManagementTechnical DocumentationRule-Based System DesignData CollectionTechnical Issue DetectionTool DevelopmentTechnical Troubleshooting

Proof of Work

Proof of Work

Sanjay shares this with people who ask. You'll hear back either way.

Education

B.Tech, Information Technology

Indian Institute of Information Technology, Allahabad · 2020 — 2024

Contact details

Contact details

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