PHILIP BANKIER

- Leading development of multimodal data warehouse platform

- Leading developer relations and community building initiatives

• Architecting and building a multi-agent platform for a specific vertical, driving product vision and execution
• Iteratively improving AI agent development platform based on user feedback and on-app interactions
• Setup and managed infrastructure for thousands of concurrent AI agents

• Company Overview: Los Angeles, CA
• Lead the development of a complex data aggregation platform and associated interactive dashboard application
• Delivered data visualization application to customers
• Established Agile and DevOps practices to improve our development workflow
• Los Angeles, CA

• Helped build a product that was acquired by a fortune 500 company
• Creating, managing, and optimizing AWS infrastructure and deployment pipelines
• Creating IaC for new projects as well as converting existing infrastructure to IaC with Terraform
• Auditing and improving Blue Bites cybersecurity(across AWS, Docker images, CircleCI, and more)
• Database capacity planning, installation, configuration, performance monitoring as well as backup and data recovery
• Improving and centralizing application and infrastructure logs using DataDog, AWS Cloudwatch, S3, and Glacier
• Implementing AWS, Terraform, Docker, Elasticsearch, and CircleCI best practices
• Monitored and optimized serverless and containerized applications built on Elastic Beanstalk, S3, Cloudfront, Step Function, Lambda and more.
• Created and managing high-throughput ETL pipelines using DynamoDB, Lambda, ElasticSearch/OpenSearch, and Kibana
• Building and managing SOC2 type1 compliant SaaS
• Managing pro-active monitoring/observability setup including DataDog and CloudWatch
• Created and managed a high-throughput ETL pipeline using DynamoDB, Lambda, Elasticsearch, and Kibana.
• Improved and centralized application and infrastructure logs using AWS Cloudwatch, S3, and Glacier.
• Managed and optimized existing AWS infrastructure and deployment pipelines.

• Lead data engineering team
• Coordinating economic research and data team pipelines
• Architect and product manage new data analytics pipelines
• Implemented basic DevOps practices to improve data team DevEx and velocity

• Company Overview: Montreal, Canada
• Architected a network of microservices including an Apache Kafka and Elastic-Stack based data management system and associated cross-platform social trading application.
• Managed and provisioned Google Cloud Platform services, including GKE, Cloud Functions.
• Deployed a system of stateless and stateful Docker microservices, serverless functions and associated backup data stores(MongoDB and S3).
• Implemented Elastic stack-based infrastructure/stack-security monitoring.
• Evaluated and used DevOps tools including Jenkins X, Pachyderm, DCOS.
• Montreal, Canada