DataStema is a data company that helps companies unlock the value of data by making it easy to standardize, automate, and deploy effective end-to-end data solutions to reduce time and costs, meet business goals, and accelerate the data analytics journey.

LEVEL 33 is a company specialized in data strategy, management, architecture, and analytics. LEVEL 33 is providing cutting edge distributed solutions based on Cloud, Blockchain and IoT technologies, that accelerate the time to market of products and improves business decisions across all the data in the organization. LEVEL 33 is a start-up based in Brussels, Belgium; our team has more than 20 years’ experience in data domain, in the European and U.S. markets.

Provide advisory and consulting services on Big Data Strategy, Governance, Security, Architecture and Implementation to client Business and IT decision makers.Lead and deliver components of client engagements that identify, design, and implement technology and creative business solutions for large companies.Managing and leading teams in the identification of business requirements, functional design, process design (including scenario design, flow mapping), prototyping, building, developing, implementing, testing, training, defining support procedures.Identify business opportunities to increase usability and profitability of information architecture.

Project scope: Data Lake Implementation (Top bank in Belgium)Role : Netezza Architect / Service Delivery ManagerTasks:• Advised and implemented a Big Data Solution Architecture for a Data Lake solution – based on IBM Pure Data for Analytics (Netezza) appliances, Hortonworks (Hadoop), IBM InfoSphere Information Server suite, Security and User Access Management procedures, custom Backup/Restore and Disaster/Recovery – based on IBM Storwize V7000U.• Technical Trainer and Advocate for Netezza technology and for Big Data adoption in the company; provided custom training for future Developers (on-site/remote). Educate and help/support the client to explore and leverage the usage of the analytics tools (SAS, R) in combination with the Netezza appliance and INZA (Netezza Analytics package). • Lead the Managed Services project and the remote team based in Bucharest, under a Capacity model, according with ITIL best practices. Designed processes and RASCI Matrix for Incident Management, Change Management, and Problem Management for the managed services team.Technologies used:• IBM PureData Analytics Appliance (Netezza)• Hortonworks Hadoop distribution• IBM Storwize V7000U• IBM InfoSphere DataStage (v8.7)• IBM Banking and Financial Markets Data Warehouse Industry Model• SAS DI

Project: Life Science - Predictive Analytics (Top pharmaceutical client in Belgium)Project scope: Create and deploy predictive analytics models, using various tools (SAS, Matlab, R) integrated with Netezza applianceRole: Netezza Architect & Advance Analytics SpecialistTechnologies used:• IBM PureData Analytics Appliance (Netezza)• SAS DI / VA• Matlab• R• C/C++• Python

Project: Banking Data Warehouse & Data Marts (Top bank in Greece)Project scope: Implementation of an Enterprise Data Warehouse based on IBM Banking and Financial Markets Data Warehouse Industry Model and creation and specific Risk Data Marts for Basel IITasks:• Act as a Project & Technical Lead for the Data Integration system• Responsible for the overall data integration design of the project, including flows and checking mechanisms• Responsible for developing physical data integration models. This entails transforming the logical data integration models into the physical data integration models, that is in line with the overall architecture, technical environment, ETL software capabilities, and project requirements• Responsible for providing project-level data architecture planning and design expertise• Approves the various artefacts ensuring enforcement of standard enterprise data element names, abbreviations, characteristics, and domains during the lifecycle of a project• Approves many of the project deliverables in order to ensure compliance with Architectural Standards in subsequent phases• Organises and oversees integration testing• Participates in integration testing• Responsible for performing performance tuningTechnologies used:• IBM PureData Analytics Appliance (Netezza TwinFin)• IBM Information Server (v8.7)• IBM InfoSphere DataStage• IBM InfoSphere Analyzer• IBM InfoSphere Metadata Workbench• IBM InfoSphere Blue Glossary• IBM InfoSphere Data Architect• IBM Banking and Financial Markets Data Warehouse Industry Model

Project: E-Learning Data Warehouse & ReportingProject scope: Architect, design and develop a data warehouse using Data Vault modelTasks:• Act as a BI Technical Lead • Designed the System Architecture and Technical ArchitectureDesign• Develop custom BI modules and componentsTechnologies used:• Microsoft SQL Server 2008 R2 (SSIS, SSAS)• Sharepoint 2010• Tableau

Project Based: RAS to IFRS migration, analyze, find & solve/mitigate the impact in all the BI banking applications.Technologies used:• SAS (SAS Base, SAS Enterprise Guide)• Oracle 11g

Project: Procurement Intelligence Data Warehouse & Top Management reporting systemProject scope: Designing a SAAS BI appliance for procurement using Microsoft BI stack technologies according with AGILE and XP best practices.Tasks:• Act as a Project & Technical Lead of a multinational team • Lead the integration efforts for merging BI platforms with enterprise systems and applications.• Design, code, test, and document all new or modified BI systems, applications, and programs.• Develop the semantic layer, metadata, reports, and report definitions.• Assist in the design of databases and data warehouses to ensure interoperability with BI solutions.• Produce ETL design guidelines to ensure a manageable ETL infrastructure for the BI system.• Work with project managers to ensure that data entry, retrieval, change and delete functions meet business requirements for project completion.• Provide technical support as necessary.• Troubleshoot BI tools, systems, and software; performance-tune these applications as necessary.• Act as evangelist for BI benefits across the organization; promote BI usage to relevant departments and teams.Technologies used:• Microsoft SQL Server 2008 R2 (SSIS, SSAS)• Master Data Services (MDS)• Strategic Companion - Analyzer

Project: Banking Data Warehouse & MartsProject scope: Designing a credit risk data warehouse framework for Basel II and provide regulatory reports for National Bank of RomaniaTasks:• Providing functional and technical analysis for Romanian National Bank (BNR) reports: Basel II, Provisions, Monetary Balance sheet, Balance of External Payments, Liquidity, FINREP, COREP, IAS Standards• Part of a team who assured the achievement of CMMI (L2 and L3) for the IT DepartmentTechnologies used:• SAS (SAS Base, SAS Enterprise Guide)• Oracle 11g

Project: Banking Data Warehouse & ReportingProject scope: Architect, design and develop an entire Data warehousing & Reporting system for the retail bankTasks:• Find/generate executive level support for the data warehouse initiative• Define key business drivers for the data warehouse initiative• Deliver a project scope that directly supports the key business drivers• Define the overall data warehouse architecture (ETL process, ODS, Data Marts)• Define technical requirements, technical and data architectures for the data warehouse• Design and direct the ETL process, including data quality and testing• Design and direct the information access and delivery effort for the data warehouse• Define and direct the implementation of security requirements for the data warehouse• Define meta data standards for the data warehouse• Direct the data warehouse meta data capture and access effort• Define production release requirements and sustainment architectureTechnologies used:• SQL Server 2005 (SSIS, SSAS, SSRS) • Sharepoint 2007• Excel Services 2007

Project: Pharmaceutical data warehouse & reportingProject scope: Architect, design and develop an entire data warehousing & reporting systemTasks:• Design and develop technical solutions, including database design, modeling, installation and configuration, data warehousing and data integration tasks to support the data management systems.• Design and manage the business intelligence architecture & processes• Review business and technical requirements specifications and manage implementations• Work with internal customers (i.e. Marketing, Sales, Finance, HR, Logistics) on business intelligence requirements and solutions• Develop Dashboards and Scoreboards for top managementTechnologies used:• SQL Server 2005 (SSIS, SSAS, SSRS) • Sharepoint 2007• Dundas Charts• Cognos BI 8

Tasks:• Administration of the MS SQL SERVERS 2000 from the drug stores & headquarter SQL-Server Administration (Replication, Backups, Index & Partition Strategies, Database Tuning & Optimization)• Building OLAP Cubes & Reports to support Sales, Finance and Marketing departmentsTechnologies used:• SQL SERVER 2000 • DTS & Reporting Services

Development of ERP solutions, decision systems, mobile programming;