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Jagdish Sahu

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Specializing in GCP infrastructure, GKE workload management, and CI/CD automation — building secure, scalable cloud-native solutions.

Jagdish Sahu

About Me

Cloud Engineer specializing in GCP infrastructure, GKE workload management, and CI/CD automation, with a strong foundation in IAM and VPC networking for secure, scalable deployments. Built streaming and ETL/ELT pipelines leveraging Cloud Pub/Sub, Cloud Dataflow, BigQuery, and Cloud Storage.

Skilled in observability and reliability practices, including SLA/SLI/SLO tracking, on-call response, and postmortem analysis. Validated by certifications in Snowflake, Confluent Data Streaming, and GitHub Foundations.

Bengaluru, India

99.9%

Uptime Achieved

3+

Certifications

GCP

Cloud Platform

Learning Mindset

Technical Skills

Cloud & Infrastructure

GCPGKEIAMVPC NetworkingCloud Load BalancingDockerKubernetesAutoscaling

Data Engineering

Cloud Pub/SubCloud DataflowBigQueryCloud StorageETL/ELT PipelinesStreaming Pipelines

CI/CD & DevOps

Cloud BuildCloud Source RepositoriesCloud FunctionsGitGitHub Actions

Monitoring & Observability

Google Cloud MonitoringPrometheusGrafanaGKE-native observability

Languages

PythonSQLMongoDB

AI/ML & GenAI

TensorFlowKerasHugging FaceStreamlitGitHub Copilot

↻ Drag to explore skills

Experience

Cloud Engineer

  • Designed and implemented end-to-end data pipeline architecture on GCP, integrating Cloud Pub/Sub, Cloud Dataflow, and BigQuery to support streaming and ETL/ELT workflows for the data engineering team.
  • Managed large-scale data ingestion into BigQuery via Cloud Storage, enabling reliable batch and streaming data warehouse workflows.
  • Built CI/CD automation pipelines using Cloud Build and Cloud Source Repositories, enabling consistent, auditable, and secure deployments of containerized services on GKE.
  • Deployed and managed containerized microservices on Google Kubernetes Engine (GKE) with autoscaling, ingress load balancing, VPC networking, and IAM-based access control, sustaining 99.9% uptime (SLA/SLO/SLI-tracked) across pre-production and production environments.
GCPGKECloud BuildBigQueryPub/SubDataflowDockerKubernetesIAMVPC

Certifications

Snowflake Certification

Snowflake

Certified Data Streaming Engineer

Confluent

GitHub Foundations

GitHub

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