Mahesh Peiris

Platform & Data Engineer

I started my career as a financial data analyst, building SQL/Python data pipelines and financial reporting. Over time that scope has grown into platform engineering, infrastructure automation, data engineering, and production operations — designing cloud infrastructure with Terraform, running production-grade Kubernetes environments, building event-driven data pipelines, and owning CI/CD and reliability for the systems behind automation and AI-driven initiatives. I hold the Google Cloud Professional Data Engineer certification (2023) and the CKA: Certified Kubernetes Administrator certification (2025). Want to know more about my background? Check out my resume.

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What I do

My scope has evolved from financial data analysis into platform engineering, infrastructure automation, and data engineering. Below is a quick overview of my main technical skill sets and technologies I use. Want to find out more about my experience? Check out my resume.

Infrastructure & Cloud

Terraform, GCP, AWS, Azure — provisioning and managing scalable, reliable cloud infrastructure across environments.

Kubernetes & Orchestration

Deployments, Services, ConfigMaps, CronJobs, Helm charts, and GitOps workflows with Argo CD.

Data Pipelines

Event-driven ETL and ingestion pipelines with Pub/Sub, scheduled workflows, and AI/ML data processing support.

Databases

PostgreSQL and Google BigQuery — design, optimization, and high-availability for production workloads.

CI/CD & Automation

End-to-end build, test, and deployment pipelines; Python and Shell scripting to automate operational tasks.

Reliability & Monitoring

Monitoring, alerting, and centralized logging; production incident response and root-cause analysis.

Integrations

REST API-based ingestion pipelines connecting third-party platforms into internal data systems.

Data Analysis

SQL, Python (Pandas, NumPy), Power BI, Tableau — my original analyst background, still in daily use.