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Design and enforce security controls for PMI’s federated data platform, ensuring confidentiality and compliance across Snowflake, Matillion, and dbt Cloud in a regulated enterprise environment.
Design and optimize CI/CD pipelines, Kubernetes clusters, and cloud infrastructure to improve reliability, security, and developer productivity for a global lottery platform.
Build automated pipelines to ingest AWS cost data, catalog it with Glue, and create reusable models for FinOps reporting and AI-driven cost analysis.
Build and scale cloud cost-tracking data pipelines using SQL, Python, and orchestration tools to enable FinOps transparency and optimization for enterprise clients.
Senior Data Engineer builds scalable ELT/ETL pipelines and data models in Python, SQL, dbt, and Airflow on AWS and Snowflake to power cost attribution and financial modeling for cloud optimization.
Lead a DevOps team to design, secure, and scale AWS-based infrastructure for high-load iGaming systems using Kubernetes, Terraform, and CI/CD pipelines.
Build and maintain scalable Python services and high-performance SQL on Snowflake/Databricks, designing secure, observable data applications with Streamlit and modern data architecture.
Build and maintain automated cloud cost pipelines and reporting for a FinOps initiative, enabling spend tracking and optimization across cloud environments.
Build and maintain scalable Kubernetes infrastructure using Terraform and ArgoCD, optimizing multi-region deployments and FinOps in a climate-tech company.
Build and maintain a modern data platform on Google Cloud Platform using Lakehouse and Medallion architecture, creating scalable pipelines and analytics-ready datasets for business teams.
Build and optimize GCP-based data pipelines and Lakehouse architecture to transform raw data into strategic business assets using BigQuery, Dataform, and Medallion model.
Senior AI and Data Cloud Architect designs enterprise-grade AI, analytics, and cloud solutions on Azure, AWS, and GCP, guiding clients through cloud transformation and AI adoption.
Design and maintain secure, scalable Microsoft Azure cloud infrastructure for enterprise applications and data platforms using IaC, CI/CD, and Azure-native services.
Build and maintain cloud-native tooling to automate deployments, monitor reliability, and secure systems, using Kubernetes, Terraform, and Azure.
Build and maintain a secure, scalable Azure and Databricks data platform that powers analytics, AI, and business insights for a logistics company.
Build and maintain a secure, scalable Azure-based data platform for analytics, AI, and reporting, using Databricks, Data Lake, Terraform, and CI/CD pipelines.
Build and run a secure, scalable Azure-based data platform (Databricks, Data Lake) that powers analytics, AI, and reporting for a logistics company.
Builds and maintains a governed, self-service data platform on Microsoft Fabric, focusing on FinOps and operational excellence for enterprise analytics.
Build and maintain Azure’s data orchestration and cloud infrastructure, using Airflow, Databricks, Terraform, and AKS to keep pipelines reliable and secure.
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