Aurelije Z.

Aurelije Z.

Senior Vice President

Clifton , United States

Experience: 25 Years

Aurelije

Clifton , United States

Senior Vice President

288000 USD / Year

  • Immediate: Available

25 Years

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About Me

Innovative, solutions-driven executive and chief architect with over 20 years of experience, leading the architecture, design and development of mission-critical, data and analytics, cognitive, ML & AI, SOA and Cloud & Multi-Tier distributed applicat...

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Portfolio Projects

Description

Build Intelligent Apps / Smart apps

Cloud and big data/smart data lake initiatives - enterpise data lake (EDL) - goverannce,....

Leveraging best-in-class cloud-based technologies to replace legacy on-premises solutions

Integration - data and apps - Mulesoft and SFDC

Graph DB / Ontologies / Taxonomy / SPARQL

Intelligent trend insights, actionable opportunities, decision support, and transparency into all client and business-related activities.

Technology: Smart/Semantic Data Lake using AWS, S3, Kinesis, Spark, DynamoDB, Redis, Kafka, RDS, Lambda, AWS Step functions, Microservices (AWS ESC/EKS), Cloud Watch, Streaming, Graph DB (Franz Allegro Graph, Anzo Cambridge Semantics, AWS Neptune), Ontologies/Taxonomies, Collibra, CRISP-DM/ASUM-DM, Databricks, BI, Qlikview/QlikSense, Microsoft BI (PowerView, Power Query, SSAS, SQL Server Data Tools, data mining), SSIS, SSRS, Microsoft SQL, Mulesoft (Integration Platform, API Manager), RedHat Decision Manager, Drools, ElasticSearch, Postgress, NoSQL, Informatica, Alteryx, R, Payton, ML libraries, NLP, Confluence Tools (Artifact Management (Artifactory), Bamboo, Sonar as a Code Analysis, Git, Confluence, Jira).

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Description

Responsible for all KPMG application development -Leading the Innovation & Enterprise Solutions (ES) organization.

Responsible for all horizontal, reusable and common application artifact, architecture, standards, and guidelines. ES is also responsible for application rationalization, application development of some major applications and reusable solutions/platforms. Implemented from the ground up the newly formed ES department, consisting of the Solution Architecture team, the EDW/Big Data and Analytics team, and teams leading Cognitive/ML, RPA, SOA, Cloud – PaaS, Continues Integration and delivery (CI/CD) and Mobile.

Delivered the Cognitive & Machine learning analytical platform with advance NLP.

Technology: Mobile, IOS, Swift, EDW, BI, Qlikview, QlikSense, Microsoft BI (PowerView, Power Query, SSAS, SQL Server Data Tools, data mining, DAX), SSIS, SSRS, IBM MQ, SOA, WSo2 (BPS, ESB, API Manager, DAS, CEP), RedHat BRMS, Drools, SAP, HANA, PaaS (Appredna & WSO2 Stratos), Hadoop, ElasticSearch, Postgress, NoSQL, Microsoft SQL, Neo4J, Ruby on Rails, Informatica, Alteryx, Revolutionary R, R, Payton, ML libraries, NLP, IBM Watson, RPA, WorkFusion, IPSoft, Hadoop, Elastic Search, Artifact Management (Artifactory), Jenkins, Sonar as a Code Analysis, Git/Stash, Confluence, TFS

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Description

Responsible for implementation of the newly formed Enterprise Architecture department

Defining technology strategy and roadmap, technical vision, enterprise integration architecture & solutions, and building an architecture & development team.

Leading the approved technology refresh for data strategy (Clean-up, governance, MDM, Reference data, big data), SOA & integration solutions, risk analytical platform capabilities.

Technology: Catastrophe and Exposure Risk Analytics, RMS, Data strategy, Big data, Analytical Platform, SOA/ESB (WSo2, Fuse, Service Mix, Camel, Drools), Agile

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Description

Developing and automating content, analytical tools, reports, applications, and offering intelligent recommendations using predictive analytics models and techniques.

Responsible to define and drive the strategic roadmap, technical vision, architecture, and direction of the Client Intelligence team and platform.

Led the development and delivery of predictive analytics CRM platform. Precision marketing tool retained, cross-sold and upsold existing customers.

Driving and improving the predictive analytical platform capabilities by incorporating new analytical execution grid solutions, SOA, ESB, reusable business services, high performance databases, and big data approaches. Improved software development processes adopting agile Scrum/Kanban methodology to deliver services faster and with better quality.

Technology: Predictive Analytics, CRIS-DM, High Performance DB, Big data, ML Analytical Platform, SalesForce, Force.com, VisualForce, SOA, Fuse ESB, Service Mix, Camel, Drools, Ajax, ExtJS, Sencha, Flex, Java, Lucene, Platform Computing (LSF & Symphony), Sybase IQ, DB2 and SDLC & Agile and Kanban, Hadoop, Tibco Spotfire, QlikView, Eloqua.

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