Data Engineering is the process of designing, constructing, and maintaining data processing systems. I work with clients to build complex data pipelines for data integration, transformation, enrichment and distribution, with built-in data security and provenance features.

  • Data Pipelines

    Scalable and fault-tolerant data pipelines to integrate and distribute R&D data based on Apache NiFi, a free and open-source solution.

  • Data Services

    Develop and deploy container-based, pluggable data services for R&D data transformation and enrichment.

  • Data Modeling

    Select among different data model paradigms (E-R, ontology, JSON schema) based on data structures and system/user requirements.

  • Data Security

    Implement role-based data security policies and single sign-on integration for R&D databases and applications.

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