09/30/2026 updated
100 % available
Staff Data Engineer | Cloud Data Architect | Data Platform Engineer | AI Engineer
Los Angeles, USA
Only remote
Master's Degree in Computer ScienceAbout me
I'm an AI Engineer with 8+ years of experience designing and scaling AI and cloud platforms across AWS and Google Cloud. I'm passionate about solving complex problems with AI, building efficient and reliable systems, and creating solutions that help teams and businesses make better decisions.
AI AgentsRAGLLM
Cloud Architecture (AWS & GCP)
Extensive expertise in designing and scaling cloud data platforms on AWS and Google Cloud, including services such as BigQuery, Redshift, S3, Lambda, GKE, and SageMaker, supporting millions of customers and reducing infrastructure costs significantly.
Data Engineering & Data Platforms
Deep knowledge in building end-to-end data platforms, data pipelines, and data warehousing solutions using tools such as Airflow, dbt, Spark, Kafka, and SQL, enabling self-service ingestion for 10+ business units and empowering 50+ engineers and analysts.
DevOps, MLOps & Infrastructure Automation
Strong background in DevOps and MLOps practices, including CI/CD pipeline optimization with Terraform and dbt workflows, Kubernetes orchestration, and SRE principles for data governance, security, monitoring, and compliance.
Python & SQL Development
Proficiency in Python and SQL for data processing, pipeline development, and analytics, applied across multiple cloud environments and data engineering projects.
Kafka & Real-Time Data Streaming
Hands-on experience building real-time data sync services using Kafka and Kotlin, replacing legacy offline processes with event-driven architectures for improved customer engagement and observability.
Kubernetes & Container Orchestration
Certified Kubernetes Application Developer (CKAD) with practical experience deploying and managing containerized workloads using Kubernetes and Docker across cloud platforms.
FinOps & Cost Optimization
Track record of reducing cloud costs by up to 35% through infrastructure optimization, better visibility, and FinOps practices on both AWS and GCP environments.
AI/ML Platform Engineering
Experience building MLOps frameworks with SageMaker and AI-powered applications, reducing ML deployment time from months to days and delivering AI solutions for clients.
Data Governance & SRE
Implementation of SRE practices and data governance frameworks ensuring security, compliance, and observability across large-scale data platforms.
Extensive expertise in designing and scaling cloud data platforms on AWS and Google Cloud, including services such as BigQuery, Redshift, S3, Lambda, GKE, and SageMaker, supporting millions of customers and reducing infrastructure costs significantly.
Data Engineering & Data Platforms
Deep knowledge in building end-to-end data platforms, data pipelines, and data warehousing solutions using tools such as Airflow, dbt, Spark, Kafka, and SQL, enabling self-service ingestion for 10+ business units and empowering 50+ engineers and analysts.
DevOps, MLOps & Infrastructure Automation
Strong background in DevOps and MLOps practices, including CI/CD pipeline optimization with Terraform and dbt workflows, Kubernetes orchestration, and SRE principles for data governance, security, monitoring, and compliance.
Python & SQL Development
Proficiency in Python and SQL for data processing, pipeline development, and analytics, applied across multiple cloud environments and data engineering projects.
Kafka & Real-Time Data Streaming
Hands-on experience building real-time data sync services using Kafka and Kotlin, replacing legacy offline processes with event-driven architectures for improved customer engagement and observability.
Kubernetes & Container Orchestration
Certified Kubernetes Application Developer (CKAD) with practical experience deploying and managing containerized workloads using Kubernetes and Docker across cloud platforms.
FinOps & Cost Optimization
Track record of reducing cloud costs by up to 35% through infrastructure optimization, better visibility, and FinOps practices on both AWS and GCP environments.
AI/ML Platform Engineering
Experience building MLOps frameworks with SageMaker and AI-powered applications, reducing ML deployment time from months to days and delivering AI solutions for clients.
Data Governance & SRE
Implementation of SRE practices and data governance frameworks ensuring security, compliance, and observability across large-scale data platforms.
Languages
EnglishFluentFrenchNative speakerSpanishGood
Project history
Leading a team of developers and data engineers delivering data platforms, cloud solutions and AI-powered applications for clients. Driving project strategy, client engagement and business growth. Tech: AWS, GCP, Python, Kubernetes, Terraform, AI/ML.
Designed and built a GCP data platform supporting 3M to 20M+ customers, used by 50+ engineers and analysts. Developed a real-time data sync service with Kafka and Kotlin for customer engagement. Reduced BigQuery and GKE costs by 30% and CI/CD time by 40%. Implemented SRE practices for data governance, security, monitoring and compliance. Tech: GCP, BigQuery, GKE, Kafka, Airflow, dbt, Terraform, Python, Kotlin.
Designed the AWS data platform and led the migration from Ab Initio to open source. Built a CI/CD MLOps framework with SageMaker, reducing ML deployment time from months to days. Developed a self-service ingestion portal adopted by 10+ business units. Reduced infrastructure costs by 35% through optimization and better visibility. Tech: AWS, Redshift, S3, Lambda, SageMaker, Airflow, Spark, Python, SQL.