RESUME/CV: https://jupyter.ai

Work Areas: Both director and hands-on implement data processing, data analytics and backend services in Python-3, Spark 2.0, Kafka, NoSQL genres, Microservices, and related glue technologies.

• AMAZON WEB SERVICES (AWS) • LINUX / LXC CONTAINERS • DOCKER • PYTHON 3 • UNIX BASH & CLI

• AWS-based HYBRID DATACENTER ARCHITECTURES • AWS-based DATACENTER MIGRATIONS

• AWS-based BUSINESS CONTINUITY & DISASTER RECOVERY (BC/DR) • CLOUDERA CDH and HADOOP ECOSYSTEM

• AWS-based REALTIME STREAM COMPLEX EVENT PROCESSORS (C.E.P.) • E.T.L. • NoSQL DATABASES LONG DISTANCE MULTI-SITE FIBRE-CHANNEL SAN ARCHITECTURES FOR BC/DR

• AWS TOOLS (abbrev): SQS | ECS | SNS | DYNAMODB | ELASTICACHE | EC2 | VPC | KINESIS | DIRECT CONNECT | (Etc).

• OPEN SOURCE TOOLS (abbrev): MONGODB | C* | REDIS | STORM | KAFKA | SPARK | SCIKIT-LEARN | TENSORFLOW | (Etc).