I enjoy building data flow analysis applications, reports, and business processes that find and capture the value in opportunities from changing data patterns, building experiences that take advantage of data visualization techniques to make large and complex data sets easy to understand, and coordinating operational processes, analytics and visual analysis models that put the right insights in front of the right people in time to make good decisions. I consider it a privilege to rise to the challenge of turning early ideas into working systems that solve problems and save time. I keep up to date on, and occasionally contribute to, many open source projects and technologies and platforms. I believe in the right tool for the job, but I am admittedly biased towards D3, java, javascript, Spark, Kafka, Python, Amazon Web Services, and task oriented data analysis and visualization techniques.Skills include cloud infrastructure planning and management, distributed systems design, balancing deployment costs with processing and throughput requirements, and applying available resources to the realities of business timelines. Software development life cycle management and optimization, Automation of application software deployment and upgrades, including database change control and migration, business process modeling, systems planning and deployment. Keeping up-to-date on cloud deployment stacks that provide resources to complex data analysis, processing, and reporting operations to facilitate business process tasks that provide content delivery, reporting and engagement to remote users.Some of my favorite technologies, platforms, tools, and APIs are...D3, ExtJs, JQuery Spring, Pandas, Scikit Learn, Tensorflow, KerasSpark, PIG, Hive, HBase, MongoDB, Hibernate, Postgres, Oracle, SQL Server, MySql, H2, Neo4J, OrientDB, Redis, ElasticSearch/ELKAWS (Amazon web services - EC2, EMR, S3, RDS, SNS, SQS, Simple DB, Redshift, Elasticache)Power BI