
Delivered over two decades of unparalleled technical expertise in spearheading and designing large-scale, distributed, and complex architectures with exemplary execution.
Designed and executed Cloud platform architectures aligning with the company's vision, ensuring robust Cloud infrastructure and platform services. with end-to-end security and compliance controls.
Led the design and development, from inception, of numerous data-intensive applications and platforms on AWS infrastructure. Ranging from backend web services to cloud-native, self-service big data services (PaaS), these initiatives helps to develop reliable, high-throughput batch, and real-time data pipelines. These solutions were instrumental in delivering significant IoT and machine learning capabilities.
Extensive experience collaborating with customers, project managers, and technical teams to secure and successfully execute concurrent projects. Collaborated with senior management to provide strategic technology direction aligning with organizational objectives.
Contributed significantly to the open-source community, including an SDK on Mesos, an API rate limiter leveraging Redis, and a high-throughput Spark/AWS Glue framework for processing massive data volumes in a serverless framework.
Java, Go, Python, Microservices, MongoDB, GCP PubSub, BQ, Docker, Kubernetes, Cloud Foundry, Consul, Redis, RESTful, DataLake, ETL, CDC, Hadoop, Kafka, Spark, PostgreSQL, Vertica, Linux, SQL, CI/CD, Scrum, AWS VPC, IAM, S3, RDS, Glue, Elasticsearch, EMR, SQS, Presto & AWS SDK
Nanodegree: Deep Learning | Udacity, Mountain View, CA | 2018