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Architect Data

Long Branch, NJ
September 27, 2018

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Thamer Ashour


Professional Summary

With over 25+ years of IT experience, Thamer is a visionary leader, decisive, action-oriented and results-focused IT management professional who for the last 15 years has been inspiring excellence, creating team culture based on performance and innovation, delivering projects and services for a variety of industries with some projects exceeding the multi-million-dollar budget mark. An enthusiastic who possess a commitment for defining practical but powerful digital strategic for long term success of the organization and expertise in the various aspects of project management, including: resource loading; resource leveling; team building; team consensus; budget management; developing project scope (budgets, timelines, milestones, delivery dates); managing customer relationships; cost avoidance; continuous design improvements; reporting and risk management. Passionate about technology and IT trends and emerging technologies like API, Microservices, Cloud, Internet of Things (IoT), Cognitive Computing, Natural Language Processing (NLP), Hadoop, Big Data, Analytics and Data Science.


Digital Strategy: collaboration with CTO, Business & IT managements, Proving Cost Avoidance, ROI/OPEX/CAPEX/capital to established enterprise-wide Big Data digital strategy.

Digital Transformation to Modernization, Standardization and Enterprise System Integration.

Deep Architecture Enabling Alignment across several verticals and cross-IT functional pillars with Global reach-Enterprise Information Management (EIM), (EIA), Enterprise Data Warehouses.

Product/Service Enablement: Work closely with brand awareness, social insight and supply chain to identify TTM.

Key Trusted partner with Stakeholders to Define/Drive Data Strategy & End to End Technical Roadmaps.

Drive Global initiatives/Insights while ensuring gap and technical debt are kept at minimum.

Report/present to CxO’s in multiple verticals on projected plan/execute.

Work History

Client: HSB, Hartford CT Aug 2016 – Current

Role: Principal Enterprise Architect / Machine Learning Cloud Architect

Strategic Responsibilities:

Assess and review current HSB Transformation, Digital and IoT initiatives and provide a comprehensive guideline, and recommendations to realign it with business digital strategy and vision.

Provide thought leadership to the Client’s CTO organization for selecting and evaluating industry best Cloud (Enterprise) platform as a service as well as Cloud based (integration) platform as a service (iPaaS) to migrate their On-premise’s B2B and B2C production applications.

Responsible for defining and publishing Cloud Reference Architecture and Cloud Federation Architecture for client CTO organization.

Architect and design HSB EIM and EIA reference and blue print architecture. Socialize EIM vision with business and managements constituents.

Worked closely with C-Level management and business stakeholders to attain full collaboration on EIM, EIA and digital strategy implementation.

Collaborate with business architect to define and map out Business capabilities and align them to EIM and EIA capabilities.

Ensures alignment of cross program IT strategy and planning with company's business goals.

Optimizes information management approaches through an understanding of evolving business needs and technology capabilities.

Advocate Blockchain technology as the new secure and trusted path to exchange information between business partners.

Architect and design Blockchain integration initiative and develop a POC to market the concept not only within HSB but across its parent company Munich Re.

Leads and coordinates the domain technical and business discussions relative to future architecture direction.

Collaborate with senior and middle management in US, Canada and Europe to implement data governance activities with business and technology stakeholders within a cohesive, enterprise-wide program.

Responsible for Next Generation Data Center (NGDC) Strategy includes Data Center Development Model (DCDM), Hybrid Cloud and Hybrid IT Strategy, SI Services Strategy, Big Data Strategy, Master Data Management (MDM), and Business Cloud Advisory.

A member of the agile management team that coordinate and guide the implementation partner and provide status report to HSB chief architect and CTO.

Participates in enterprise strategy development, including environmental analysis, opportunity identification, value cases and business innovation portfolio development.

Architect, Designed and lead the deployment of a new Natural Language Processing (NLP) Data Science infrastructure for ingesting, parsing, classifying and indexing unstructured content from legal documents.

Hands-on expertise on Big data technologies within AWS and Azure and skilled in Java, Spark, Python, R and machine with learning implementation.

Client: Omgeo, Boston, MA Aug 2013 – August 2016

Role: Sr. Enterprise Architect / Cloud Architect/ Big Data Architect


Lead and / or participate in the architecture and technical design of one or more components.

Lead the effort to evaluate Hadoop vendor distributions and Cassandra against SAP Hana and Teradata.

Lead an Enterprise architect team to design and implement Spark steam processing and orchestration service layer for SAP and other DW tools.

Architect the implementation of Hadoop HDFS as an enterprise data hub and its integration with BI and DW data virtualization layer to provide deep insight into business and system processes.

Advocate Big Data pond/lake integration into DW as a staging data sandbox or an understructure for predictive, discovery and prescriptive data analytics.

Lead team to create ETL processes between legacy RDBMS systems and Hadoop ecosystem.

Architect high performance data stream ingress using kafka, Flume and spark and design data analytical interface to BI dashboard.

Spearheaded (MongoDB, Couchbase) NoSQL DBs evaluation selection based on Enterprise use cases, concurrency, throughput, latency and price/performance ratio and opted to select Couchbase over MongoDB.

Work with multiple outsourcing vendors and offshore teams in scheduling and coordinating deliverables.

Architect the transformation of several Java Spring applications and portals to AWS cloud implementation.

Architect vendor integration via services and MFTP and play a role in provision firewall policies and configuration.

Led an enterprise-wide initiative to achieve secure Single Sign-on(SSO) across all internal applications.

Client: UTI Worldwide, Portland, OR Jul 2012 – Aug 2013

Principal Enterprise Architect / Cloud Architect/Data Architect


Provides architectural vision for developing and implementing enterprise architecture initiatives that improve IT cost effectiveness, service quality and business development.

Redesigned core supply chain processes to eliminate redundancies, reduce process time between steps and identify opportunities for automation.

Provides enterprise architecture planning, oversight, evaluation, and coordination of IT management and supporting technology systems.

Interface with key stakeholders to define, develop, shape and refine requirements of software products.

Establish goals and metrics to measure the effectiveness after release; monitor & report on progress to stakeholders.

Client: Big 4 Consulting Firm Jan 2011– Jun 2012

Role: Principle Enterprise Architect / Cloud Architect/Data Architect.


Develop Technical Roadmaps and participate in creating the Qualitative Business Case.

Identify current supply chain ecosystem pain points and its operational processes and provide technical solution recommendations that are in-line with business strategy and goals.

Collaborating as a key Accenture member of the sales team to represent the solution offering to the client internal groups and steering committee,

Aligning final solution architecture (including statement of work, schedules and other contractual documents) with final terms and conditions.

Client: MERRILL LYNCH, Pennington, NJ Jan 2008 – Jan 2011

Sr. Solutions Architect / Data Architect/Development Manager


Canonical services (within SaaS environment) specification and retrieving appropriate query plan to increase data abstraction layer reliability and scalability, reusability, and performance across diversified platforms as well as multiple data sources.

Evaluated business requirements and its implication to identify service level agreements (SLAs) and the requirement for data virtualization. Examples: Annuity Profile, Policy Details, and Legal Restrictions.

Architected services as well as evaluated service interface granularity for the transformation of “as-is” enterprise to "to-be" SOA based infrastructure from provided business processes.

Architect event driven (EDA) synchronization between various components (or services) to accomplish real-time enterprise information integration (or portal) within service-oriented content management infrastructure.

Participated in risk management processes and SWOT analysis to introduce novel product for the specific target market.

Client: Big 4 Consulting Firm, Florham Park, NJ Oct 2006 – Jan 2008

Role: Manager/ Sr. Solution Architect of Complex Solution and Architecture (CSA)

Participated in developing, leading and presenting several solutions architect proposals varying in scopes.

Led business analyst team to establishing gather requirements and develop project schedule.

Responsible for developing, leading and executing implementation plans for a large telecommunication project. Highlights included analysis of business processes and related data models to identify business requirements and project scope.

Delivered several detail proposals and technical architecture documents for various clients in the Telecom and Healthcare, Insurance and Automotive industry. The technical architecture was based on the use of J2EE technologies and MVC architecture, to be deployed on WebLogic/WebSphere for UNIX and Windows environment. The proposal included a detailed project plan with risk analysis, testing strategy and a high level functional design.

Provide recommendations and plan to improve the Enterprise readiness of the currently under development application.

Info for below can be provided on request:

Client: Bear Stearns & Co, Whippany, NJ Nov 2003 - Oct 2006

Role: Associate Director / Sr. Architect


Client: New York, New York Jun 2001 – Nov 2003 Role: Senior System Architect/ Technical leads

Client:, San Francisco, CA Aug 2000 – Jun 2001

Senior System Architect/ Technical lead

Client: T3Media Inc., New York, New York Feb 1999 – Aug 2000

Role: Sr. System Architect/ Technical lead / Presales

Client: COPELCO Corp., Cherry Hill Nov 1997 – Feb 1999 Role: Sr. System Architect/ Technical lead

Client: Lucent Technologies, Murray Hill Jul 1996 – Nov 1997

Role: Sr. Developer / Technical lead / Presales

Technical Skills

Cloud: AWS ML, Azure ML, AWS Green Azure PaaS, IaaS, SaaS, SOA, Azure SQL DB, SQL DW, Messaging, Publish/Subscribe, Data Services, Web Services.

MDM: Informatica MDM, Oracle 11g backbone

NLP: Spark Mllib and ML, DeepLearning scala, TensorFlow, Spark, Python, R

Data Virtualization: Denodo, Composite

ETL: Informatica PowerCenter AE 9.6.3

Metadata Management: IBM InfoSphere Governance, Informatica, Collibera, SAP InfoSteward

BigData: Cloudera EDH ingestion (SQOOP/HIVE/PIG/FLum) & Akana API Orchestration, docker swarm, kubernetes, Mesosphere, IBM WAS Service Bus (ESB)

API Management: Apigee, MuleSoft, IBM API Connect, Azure API Management

Analytics: SAS, Power BI, Tableau, MS APS

Hadoop, Hortonworks, CDH, HDFS, Pig, Hive

NoSQL: Cassandra, MongoDB, Redshift

Real time & Event Driven: Apache Kafka/Storm/ Spark & Streaming/messaging analytics, Kinesis, Event Hub, Streaming Analytics.

DevOps: Puppet, Chef, vagrant, Docker, Kubernetes, Zookeeper, Git, Jenkins and selenium CI, Nagios, Ganglia, Nginx, OpenStack

Educational & Certifications:

AWS Certified Solutions Architect – Professional

B. S., Biomedical Engineering and Minor Electrical Engineering

University of Bridgeport, Connecticut.

AWS Certified Solutions Architect – Professional

TOGAF 8, 9 and Zachman framework – Enterprise ontology

Enterprise (Business/Technology), Systems, and Applications (SOA/OOAD/OOP

Tools: Sparx Enterprise Architect, ARIS, Rational Unified Process (RUP and UML)

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