Design and deliver cloud cost automation services, reporting pipelines, and governance workflows using Python, SQL, and cloud-native tooling.
Architect and implement cost analytics pipelines for scale, resilience, auditability, and security.
Integrate with third-party APIs to automate cost allocation, optimization actions, and governance processes.
Build and maintain backend services and automation scripts for operational reporting, anomaly detection, and cost optimization tracking.
Develop and optimize relational database schemas and queries for cost and usage data.
Apply secure coding practices, secrets management, RBAC controls, and compliance-aware automation.
Package, deploy, and support production automation workloads on Linux environments.
Use CLI-based cloud tooling and JSON data processing to extract, transform, and operationalize billing and usage data.

Strong programming skills in Python
Solid SQL expertise
Experience building and maintaining data pipelines and automation scripts
Experience integrating with third-party APIs
Proficiency with Azure, AWS, and GCP
Strong understanding of cloud cost optimization strategies, FinOps practices, and governance workflows
Scripting expertise in Bash and/or PowerShell
Familiarity with CLI-based cloud tooling and JSON data processing
Knowledge of secure configuration, IAM, encryption, RBAC, and secrets management practices
Experience deploying and operating production workloads in Linux environments
Comfortable working cross-functionally with engineering, operations, and finance stakeholders
Clear written communication and documentation skills

FinOps Consultant

Key skills