SUMMARY:

• 30+ years of professional experience of designing/building data - centric products and data processing systems/frameworks, for Database/ETL software vendors, financial institutions, Government Agencies…as a
• Software engineer, architect, developer or team lead
• Dataarchitect/developer and/or analyst/modeler
• Motivated, Self-disciplined, Can work independently or within a team, Analytical, Detail oriented, Creative yet focused, Out-of-the-box thinker yet standards-driven, Fast learner, Articulate.
• Architect/Develop Data Integration solutions
• Architect/Develop distibuted, parallel Big Data solutions
• Architect/Develop Metadata driven solutions, for Governance purposes and/or SDLC automation
• Re-engineering: Analyze existing system, evaluate new technologies and plan migration
• Data Integration and sharing techniques: Event driven, batch, cache systems, message driven…
• Data processing and management techniques: Streaming, ETL, data warehousing, data mining…
• Big Data, Distributed Computing and Parallel Processing techniques
• Data Governance and modeling, including logical/physical design. Data migration & mapping
• Metadata Management techniques: Metadata collection, integration, modeling and analysis
• Service (SOA) and Message Oriented Architecture design (MOA, Message Queue)
• Analysis and modeling of many types of data: Large number of financial products, accounts, organizations, customers, trades, market data, campaign data, contracts & loans, foreign exchange, demographics etc.
• Requirements analysis and architecture design
• API design & Integration of components into existing or new systems
• Object oriented, and algorithm design, implementation and maintenance of software systems
• Model Driven or MDA based code generation techniques
• Tool and Technology Evaluation and Selection
• Open Source: Talend, Hadoop, Tomcat, ServiceMix, MySql, Hibernate, ActiveMQ…

TECHNICAL SKILLS:

Programming: Extensive Java and good knowledge of J2SE/J2EE APIs, Extensive C/C++, UNIX system API, including IPC, Signals, IO, threads, XML based technologies such as JAXB, JAXP, XSLT

Scripting languages : UNIX-shell,Python, JSP, PIG…

Database: Extensive knowledge of SQL and no-SQL Database Management Systems

Middleware: SOA, ESB, Messaging, REST

Modeling: ER Modeling, OO Modeling, UML, XML Schema, Relational, hierarchichal, columnar

Data Formats: Tabular, XML, Avro, Parquet, ORC, Key-Value, RDF, JSON, COBOL

Software Products &Tools: Database

Hbase, Sybase, DB2, Oracle, MySql, Redshift, PostgreSQL, Informix, Sql Server,Sybase IQ, Hibernate, XML Databases, RDF Stores, ADABAS, FOCUS…: Integration

Hadoop, Talend, ETI, Informatica, CloverETL,SSIS, ActiveMQ, MQSeries,ServiceMix, Mule, EHCache, Apache JCS (Java Caching System)...: EBIS

Business Objects, Cognos, FOCUS, Eagle PACE, Esbasse, Crystal, Jaspersoft...: Application

Jboss, Websphere, Tomcat, Spring, Liferay…: Productivity

UML design tools, Erwin,ER Studio, Visio, XML-Spy, MS Office, MS Project …: Development

Eclipse, CVS, SVN, Antl, Maven, Make, Continuus, Cmvc…: Other

Jena, Joseki, TDB, Pellet, Protégé, Wordpress, Alfresco, Xwiki…: Operating Systems

UNIX/Linux: CentOS,Debian, Fedora,SunOS, Solaris, AIX, HP-UX, DG/UX, Dynix, SCO, Sinix, …

Other: MS Windows, Some exposure to MVS environment

PROFESSIONAL EXPERIENCE:

Confidential, NY

Architect/Developer

Technologies: Java, Python, Talend, Hadoop, Spark, Redshift,EMR, AWS

Responsibilities:

• Schema-on-read enabled: Metadata is collected from external repositories, the Data Feeds, specified/augmented using Excel spreadsheets, or other mechanisms
• Leverages the Spark framework, as the underlying Data Engine
• Leverages Spark UDFs,and Business Rules developed either in Java or specified using Excel Spreadsheets
• A library of standard Spark UDFs and Map Functions to facilitate the aboove mentioned tasks

Confidential

Responsibilities:

• Configurable, metadata driven and extensible
• EnablesBusiness Analysts to specify Data Quality rules
• Supports Incremental Load for updatesin the source metadata documents
• Performs Versioning on the target database
• Detailed Transformation Lineage and Exception Handling

Technologies: Java, Talend, MySql, non-structered data, metadata, REST, Visio

Confidential, NY

Architect/Developer

Responsibilities:

• A high level Reference Architecture: Layers & Dataflows
• Specification and definition of standard, re-usable Data Operations and Services
• Specification and definition of re-uable Architectural Patterns and Components
• Metdata requirements for a Schema-On-Read Data Lake
• A Programming Model and DSL to standardize and facilitate the development of Data Pipelines
• A prototype implementation leveraging Apache Hadoop components

Technologies: Java, Big Data, Hadoop. Tez, Spark, Scala, Kafka, NiFi, Cascading, Talend, RDBMS, no-SQL, metadata, Data Governance, REST, Messaging, Cloud

Confidential, NY

Principal Architect

Responsibilities:

• Enable new analytical techniques, such as Predictive Analytics
• Enable new technologies, such Big Data and Unstructured Data
• Enhance the existing AML monitoring process and Case Management
• Enhance the Data Quality and Exception Management
• Streamline the existing Data Architecture
• In order to accurately analyze the Current Sttate and facilitate the Governance of the Future State, design and develop a toolset to build and analyze the Data Lineage, based on metadata gathered from a variety of products, including Informatica, ER Studio, Business Objects and several DBMS systems.
• Review and enhance the existing Data Model
• Collaborate to the design of the architecture of the Future State

Technologies: Java, metadata,Data Governance, MetaCenter,Informatica, ER Studio, Business Objects, Big Data, Talend, Apache Hadoop, RDBMS, no-SQL, REST, Messaging, Cloud, AI, NLP, Machine Learning

Confidential, NY

Principal Architect/Developer

Responsibilities:

• Automatic generation of the ETL Mappings from business specifications and Database Metadata
• Extensible Data Feeds with variable layout, as different Systems/Countries/Business Lines collected different data
• Different Business Rules for each Systems/Business Lines/Countries
• Support for different Processing Modes, such as Incremental, Batch, Real Time
• Referential Integrity of the target Data Source, as it is a Transactional System
• Global project covering several Business Lines and types of Securities, including Derivatives, Banking, Fixed Income, Credit Cards, Transfers, Institutional etc.
• Source specific processing customizable by Business Analysts, with no additional development effort
• Data Partitioning to fully leverage the available hardware resources
• Comprehensive Data Quality checks and Exception reporting
• Resilience: Exceptions Management & Recovery from failure
• A Meta-Model to support the Data Migration Framework
• A Meta-Model to capture and version the Data Requirements of the Citi KYC Application
• A process to programmatically generate the required changes to the Data Model
• A process to programmatically generate artifacts necessary to map Legacy Data
• A process to programmatically generate the Data Dictionary
• A process to populate a Metadata Repository used by the Data Migration Framework
• Implement a uniform approach for Primary Keys and Referential Integrity
• Rationalize the Subject Areas and standardize the Naming Convention
• Put in place a process to ensure the conformity of the deployed DDL to the Data Model
• Put in place a process to ensure and assess the coverage of the Requirements by the Model

Technologies: OO Design, Agile Methodology, Parallel Computing, metadata, Data Governance, Big Data, Java, Talend,Apache Hadoop, IBM Infosphere, Message Queue, Hadoop, Spark, Storm, Kafka, REST, no-SQL, Cloud

Confidential, NY

Architect/Developer

Responsibilities:

• Natural language processing and Text Mining
• An Event Processing framework
• Integration with external vendor data and Web Stream
• Integration with Social Networks

Technologies: Java, OO Design, Esper, Talend ESB, MySql, No-Sql, MongoDB, Big Data, Apache UIMA, Lingpipe, Hadoop, Storm, Web Services,Sentiment Analysis, Machine Learning, No-Sql,REST, XML, Message Queue, Cloud

Confidential, NY

Principal Architect/Developer

Responsibilities:

• Process transaction data from 228 different Product Processors, from around the world
• Reconcile with similar results, independently producedby existing processes
• Generate Exception Reports, and facilitate the investigation of potential Breaks
• The Business Rules could be Product Processor specific
• The layout of the Data Feeds, both input and output, could be Product Processor specific
• The resource requirements could be Product Processor specific, as some Product Processors generate a couple of thousand daily transactions, while others more than 10M
• The number and nature of auxiliary or reference data, could be Product Processor specific
• Global project covering several Business Lines and types of Securities, including Derivatives, Banking, Fixed Income, Credit Cards, Transfers, Institutional etc.
• Customization of data feeds, field patterns, and data mapping
• Customization of the Business Rules processing
• Adaptive and/or customizable utilization of system resources: Memory, processors
• Data Partitioning, to guarantee a predictable and optimal usage of system resources
• Multi-processing and Multi-threading

Technologies: OO Design, Agile, metadata, Parallel Computing, Big Data, Java, Talend, Oracle, Linux, Visio

Confidential, NY

Architect/Modeler

Responsibilities:

• Order data collected from all the different SORs: Order creation/modification, Route, Cancel…
• Reports submitted to regulatory organizations: OTS, OATS, DPTR
• Project covering several types of Securities, including Common Stocks, Derivatives, Fixed Income etc.

Technologies: OO Design, ER Studio, SQL, Sybase IQ, SSIS 2008, Visio, MS Office, Microstrategy, Reference Data

Confidential, NY

Architect/Modeler/Developer

Responsibilities:

• A Web interface, topresentthe viewer a uniform navigation of the integrated data
• A Search sub-system, based on Lucene/Solr
• A Data Integration sub-system, to collect and integrate the heterogeneous data

Technologies: OO Design, Agile Methodology, J2EE, Java, Talend, SQL, Pentaho/Kettle, Hibernate, Spring, Orcale, Caching, Together J, Visio, Microsoft Office, Reference Data, Data Integration, Solr

Confidential

Architect/Modeler, New York

Responsibilities:

• The goal of this project was to assess and enhance the performance of a Confidential Data Feed Processing platform

Technologies:OO Design, Agile Methodology, Parallel/Grid Computing, Big Data, Virtualization, J2EE, Java, Linux/MS Windows, JBoss, Spring, Hibernate, Oracle, InfraRED, Java,EHCache, SQL, UML, SOA, ESB, Messaging, Real Time Data