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K Muniprasad

@kmuniprasad

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GCP Data Engineer specializing in scalable batch/stream pipelines and enterprise GenAI with RAG and AI agents.

India

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What I'm looking for

I’m looking for a GCP-focused role where I can build reliable batch/stream data pipelines and production GenAI (RAG + AI agents). I want to deliver secure, scalable solutions with strong observability, data quality, and real business impact.

I’m a results-driven GCP Data Engineer with 4.8+ years of experience building and deploying scalable batch and streaming data pipelines on Google Cloud Platform. I focus on end-to-end integration—real-time ingestion, transformation, orchestration, and production-ready analytics.

I’ve designed real-time ingestion pipelines using Pub/Sub and Dataflow (Apache Beam) for telemetry, logs, and transactional data. With BigQuery, I build partitioned and clustered datasets and optimize complex SQL for interactive dashboards and analytics.

In my Enterprise Intelligence Platform work, I unify data engineering, machine learning, Generative AI, RAG, and agentic AI on GCP. I implemented semantic search, Vertex AI RAG Engine workflows, Gemini-powered experiences, and AI agents using ADK and MCP, deploying microservices on Cloud Run and orchestrating pipelines with Cloud Composer.

Across both projects, I emphasize reliability and quality: schema/null/duplicate checks, reconciliation validation between source and target systems, strong observability (Cloud Logging/Monitoring), and secure operations using IAM, Secret Manager, and API Gateway. I also bring disciplined delivery through Cloud Build/CI-CD, Terraform, and containerized deployments on GKE.

Experience

Work history, roles, and key accomplishments

Current

GCP Data Engineer

Current

Humana

Sep 2025 - Present (10 months)

Designed an enterprise AI data platform on GCP combining real-time ingestion, semantic search, and RAG/agent workflows for document and enterprise knowledge processing.

Cloud Storage Pub Sub Cloud Functions BigQuery Gemini Embeddings Vertex AI RAG Engine Gemini API Model Context Protocol (MCP)Cloud Run fastAPI Vertex AI Model Monitoring IAM API Gateway Cloud Build Artifact Registry GKE Cloud Monitoring Python SQL

Current

Engineer-2

Current

Onix (Datamatica)

Sep 2025 - Present (10 months)

Built and optimized scalable batch and streaming data pipelines on Google Cloud Platform (GCP), including ETL orchestration and automated data workflows.

Google Cloud Platform BigQuery Pub Sub Cloud Functions Cloud Run IAM Cloud Monitoring Vertex AI Vector Search Python SQL Generative AI

GCP Data Engineer

Group On

Oct 2021 - Sep 2025 (3 years 11 months)

Led migration of enterprise warehouse workloads from Teradata to GCP, converting SQL/ETL logic into BigQuery-compatible pipelines and optimizing performance and data quality.