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Designs and implements enterprise-scale data platforms and pipelines for analytics, compliance, and AI/ML use cases using cloud tools like Snowflake and AWS.
Designs and optimizes AWS-based data pipelines and models for large-scale cloud platforms, bridging data engineering and science using services like Redshift, DynamoDB, and Lambda.
Build full-stack features for AI-powered translation platforms using Node.js, React, and MySQL, owning solutions from backend services to user interfaces.
Build and maintain the accesso Horizon ticketing and visitor management platform using Java, SQL, and cloud services, ensuring scalability and reliability for global attractions.
Build and scale high-throughput, event-driven microservices in Go that process hundreds of thousands of transactions per second for a global entertainment SaaS platform, integrating with Kafka, gRPC, Cassandra, and Kubernetes.
Lead a team building and operating cloud-native data platforms on AWS to power AI/ML and analytics, using Python/Node.js, CI/CD, and IaC while ensuring security and cost efficiency.
Validate and break Kubernetes-based cloud platforms on Azure Local and FedRAMP-authorized GCP, designing tests for reliability, security, and observability while troubleshooting from IaC to pods.
Develop and maintain robust Java services and client libraries (using Spring Boot) based on the existing PM system code, ensuring high reliability and maintainability. Leverage DevOps practices to automate deployment,…
Designs and builds cloud-based ELT/ETL pipelines on AWS/Azure and Databricks to integrate financial, ERP, and operational data for a renewable-energy IPP, then delivers Power BI reports for executives and investors.
Build and ship features for a next-gen e-commerce platform using Flutter (mobile) and Node.js/TypeScript (backend) on AWS, with daily AI-agent assistance in the IDE.
WEKA is a fast-growing startup developing the world’s fastest and most scalable data platform. WEKA lives anywhere the data does, whether on-premises, in the public cloud, or in a hybrid environment, and was built from…
Builds and optimizes data pipelines, ETL processes, and analytical data stores using Python, Spark, ClickHouse, and PostgreSQL for a large retail-tech company.
Staff Engineer building and scaling JVM-based services that orchestrate distributed compute (Spark, Trino) on Kubernetes, with AWS integrations and secure enterprise auth flows.
Senior DevOps engineer focused on Azure and AI platform ops, building secure CI/CD pipelines, Kubernetes clusters, and production-grade ML/AI workloads with GitLab, Helm, and NVIDIA GPU tooling.
Designs and maintains cloud infrastructure using Terraform and CI/CD pipelines to automate deployments and improve system resilience for market data applications.
Senior Cloud Operations Engineer designs and manages AWS infrastructure, automates CI/CD pipelines with Terraform/CloudFormation, and troubleshoots Kubernetes/Docker environments for efficient application delivery.
Design, deploy, and manage AWS-based Kubernetes infrastructure and CI/CD pipelines, migrating legacy systems to cloud-native architectures while ensuring high availability and performance.
Build and scale a cloud-native, multi-tenant data platform for the automotive industry, enabling real-time analytics and AI use cases across thousands of dealerships.
Design and build scalable data pipelines and platforms to power analytics and AI systems using cloud technologies like AWS, Databricks, and Snowflake.
Build and maintain scalable data pipelines using Airflow, dbt, and Snowflake, migrating ETL jobs to orchestrated DAGs and optimizing performance for BI tools.
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