Krishna Kumar Jha

About Krishna Kumar Jha

I build data pipelines on network infrastructure data.At Nokia, I work with high-volume real-time telemetry streams — monitoring KPI deviations, correlating fault sequences, and isolating root causes across live network environments. I analyse time-series performance data under SLA pressure daily. I understand what production data quality failures actually cost.Outside of that, I build.My most recent project ingests 37GB of raw network research data through an end-to-end GCP pipeline — Python preprocessing, GCS storage, BigQuery medallion architecture (Bronze / Silver / Gold), and an interactive Streamlit dashboard powered by three ML models. 15.2M rows. 1,982 experimental runs. 8/8 data quality checks passed. Live and publicly accessible.STACKPython · BigQuery · GCS · Apache Airflow 3 · Streamlit · Scikit-learn · SQL · Terraform · GCPCURRENTLYDeepening SQL and pursuing Google Associate Data Practitioner certification.Open to Data Engineer and Data Analyst roles.

Experience

1. Network Data Engineer

   Nokia

   Jan 2025 — Present · Noida, IN

   Perform advanced Root Cause Analysis (RCA) using high-volume KPI datasets, OSS logs, and telemetry streams; leverage SQL, Python (Pandas), and Shell scripting for structured log parsing, correlation analysis, and anomaly detection.Utilize Linux-based tooling (grep, awk, sed), Bash scripting, and Python automation to ingest, transform, and analyze operational datasets in real-time environments.Work extensively with Ericsson/Nokia OSS systems, NetAct, ENM, and performance management platforms to extract structured KPI data and event logs.Operate within containerized and virtualized environments (Docker, KVM/VMware) and interact with services deployed across distributed infrastructure.Support and troubleshoot applications running in cloud-like environments, gaining exposure to container orchestration concepts and scalable infrastructure models.Analyze large-scale performance datasets to identify trends, correlate fault events, and implement data-driven reliability improvements.Contribute to automation initiatives by designing scripts and workflows that improve repeatability, observability, and operational efficiency.

Education

• Delhi Skill and Entrepreneurship University

  Diploma of Education, Computer Science

• Indira Gandhi National Open University

  Bachelor of Computer Applications

• Indira Gandhi National Open University

  Master of Computer Applications

• Indira Gandhi National Open University

  BCA, Computer and Information Sciences and Support Services

• Indira Gandhi National Open University

  Master's of Computer Application, Computer and Information Sciences and Support Services

• GHPS School(Guru Harkrishan Public School)

  High School