Excel at designing and developing scalable, distributed, multi-tenant, configurable data collection applications, data analysis systems – SaaS apps and Data Analytics – applying DDD and Event modeling, for data management and to develop enterprise canonical data models. Standardization of APIs with Swagger/OpenAPI.
Applying NoSQL solutions for scale. Distributed OLTP – NewSQL, Distributed analytics, Master Data Management, SaaS app development, Data SOA, Data Quality policies and procedures, Data Profiling catalogs, Complex Event Processing, Metadata Management, Change Data Capture, Data de-identification and anonymization, Data Privacy.
Highly skilled in harmonizing business definitions, semantic modeling, data models, data lifecycle definitions, taxonomies, creating reference data design patterns (templates), OLTP and dimensional modeling. Ability to quickly attain complete understanding of domain logic, data content, data context, and data life-cycle of any organization.
Research and POCs on Oracle Coherence, VoltDB, GridGain, Riak, Redis, Couchbase, CouchDB, Hive, Hadoop, Clustrix, and SciDB. Grails development.
Interests include development of Data Virtualization platforms on cloud, next generation Payment Systems P2P, Raspberry Pi, HPC and GPU scalability.