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Build secure, scalable enterprise apps for defense/intel missions using Java, Python, Angular, and REST APIs in an Agile environment.
Architects and builds scalable Java/Spring Boot microservices, designs secure APIs, and optimizes data workflows with Kafka and Airflow in a product team.
Senior Full Stack Developer building cloud-native AI-driven data platforms with Angular, Nest.js, GraphQL, AWS, Azure, and MongoDB to simplify data access and collaboration.
Design and build scalable Java/Spring Boot microservices, REST APIs, and data pipelines using Kafka, Postgres, Cassandra, and Kubernetes for a next-gen platform.
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.
Lead a team to design, build, and own Vimla’s scalable data platform in AWS, owning pipelines, warehousing, and integrations while coaching engineers and driving data-driven decisions.
Designs and maintains Azure cloud infrastructure, automates deployments with Terraform, and leads CI/CD pipelines for a data platform using Airflow and Azure Databricks.
Build and maintain Azure’s data orchestration and cloud infrastructure, using Airflow, Databricks, Terraform, and AKS to keep pipelines reliable and secure.
Senior Data Scientist at Xero building forecasting and optimization models to guide finance and corporate decisions, using SQL, Python/R, and Tableau.
Designs and maintains AWS-based data pipelines, builds scalable ETL/ELT processes, and ensures reliable data delivery for analytics and reporting in a hybrid work setup.
Build and scale distributed systems that power AI features for millions of users, integrating LLMs into production using Python, Spark, and Kubernetes.
Principal Data Engineer at REA Group designs and oversees large-scale data systems for Australia’s leading property platform, ensuring reliable pipelines and high-quality data delivery for millions of users.
Build and maintain Salesforce Data Cloud and Databricks data pipelines, integrations, and customer data platforms to enable analytics, personalization, and real-time decisioning.
Designs and optimizes Google Cloud data pipelines and models in BigQuery to support analytics and reporting for a financial services company.
Design and build Google BigQuery-based data models and pipelines for enterprise analytics, transforming complex source systems into scalable, high-quality data assets.
Owns and scales TMGM’s real-time financial data pipelines using Kafka, RabbitMQ, Airflow and ClickHouse to deliver sub-second analytics in a regulated finance environment.
Lead the architecture and delivery of large-scale data systems for a top Australian property platform, guiding ETL workflows, cloud warehouses, and cross-team collaboration.
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