Below are the 4 Data Architects, 2 Data Analysts & 3 Data Engineers with multiple CRM systems/technical expertise. The Thor Group® provides data architects, data analysts & data engineers with your CRM systems & industry experience on a consulting, contracting or direct hire basis.

Would hiring a data architect with experience working in education, consumer discretionary and consumer services industries help meet the needs of your organization? Educational attainment is composed of BA MIS (Management Information Systems), Minor in Criminal Justice. Technical skills involve NetSuite CRM, Blackbaud, EDW, Business Objects/Crystal Reports, Oracle, SQL Server/SSRS, SQL, SSRS, Power BI and Visual Studio tools.

Acting as a data architect in a consumer discretionary company, developed data pipelines to extract, transform and load data from a variety of source systems such as NetSuite CRM, Blackbaud, EDW and other sources. Some of the tasks were reconciling data issues and defining new data warehouse structure design strategies, as well as developing SSRS reports and creating Power Bi data models, dashboards and data connection profiles. Also, documented workflow and data tools for Budget, Planning and Analysis system.

While working for a consumer services company as a sr. database solutions analyst, led analysis and conversion of existing Business Objects/Crystal Reports in an Oracle environment to SQL Server/SSRS reporting platform. Primary focus was recreating legacy Crystal Reports against new data models and new data warehouse architecture using T-SQL, SSRS, Power BI and Visual Studio tools. This professional delivered agile solutions to bridge gaps between ongoing Enterprise Data Warehouse construction and legacy data objects.

Could your organization use a data architect who is proficient in NetSuite CRM, SAP, Salesforce, Java, .NET, C and SQL Server, as well as experienced in energy, marketing and insurance industries? Technical proficiencies cover NetSuite CRM, SAP, Salesforce, Java, .NET, C and SQL Server. Educational attainment includes Master of Science in Administration (Software Engineering) and B.Tech. (Bachelor of Technology). This individual obtained certifications as PMP (Project Management Professional), CSM (Certified Scrum Master) and CSPO (Certified Scrum Product Owner).

One of the primary tasks of this data architect was handling conversion analysis. Designing and mapping the mainframe CIS data to Oracle-based systems were some of the key roles.

Contributions in another job involved managing the Salesforce integration program, Salesforce re-engineering, websites product for commercial trucks, CDP (Customer Data Platform), social media advertising program and NetSuite ERP (SRP, finance and procurement) program. This individual participated in strategic planning, program roadmaps, prioritization, program schedule and budget management, change management, resource management, vendor management and release management. Performing dashboard reporting for executives (CFO, CIO), issues and risk management, program kick-off and other presentations to executives along with stakeholders (communication and stakeholder management) were completed. The job consisted of performing critical path analysis and management, effort estimation and tracking. Agile frameworks (Kanban, Scrum and SAFe) were followed using JIRA, Jenkins for DevOps, TDD, CICD, release planning, Sprint planning, daily stand up, retrospective sprint review, Sprint review and product backlog grooming, burn up/burn down charts and Dashboards to track programs.

Would a detail-oriented Big Data architect with work experience in computer hardware, pharma and software industries fit in your organization? Educational attainment is composed of Bachelor of Technology in Engineering. Trainings attended were Teradata V2R5 corporate training, Informatica 8.1 corporate training and Teradata Parallel Transporter. Architecture experience consists of building solutions for analytics applications using Big Data technologies like AWS, Hadoop and NoSQL databases. Additional experience includes building solutions for Data warehouse and Business Intelligence reports and Dashboards.

Some accomplishments included working on solution to implement Data Lake platform to support the analytics and BI application by integrating the data from multiple sources such as ERP, POS and Salesforce. Serving as a Big Data architect in a computer hardware company, environments used were AWS, S3, Glue, Redshift, Oracle, Informatica Cloud Services (IICS), Salesforce and Tableau. Other duties were creating logical data models for ERP, POS and Salesforce data lake entities, as well as working on setting up Redshift clusters and S3 buckets on AWS. Moreover, designed and developed data ingestion process to load data into S3 and Redshift.

Shared expertise by working on architecture and development of Commercial Analytics, Business intelligence reporting and MDM Solutions. While employed in a pharmaceutical company as a Big Data architect, environment used were PostgreSQL, Hadoop, Hive, MapR Streams (Kafka), SQL Server, Tableau, ERWIN and UNIX. In addition, designed and developed the data integrating into Data Lake and Data Marts from multiple sources such as SAP ERP systems for orders, Invoices and Delivery data, from Veeva CRM system. Furthermore, designed and developed process to ingest data into Data Lake MapR streams (Kafaka).

Does recruiting a data architect with work background in engineering, IT and telecommunications industries match your organization’s requirements? Computer knowledge covers Salesforce CRM and Oracle, as well as MySQL, MongoDB, R Language, Splunk, Oozie, Clodera, Hadoop, and Informatica. Core competencies also consist of Big Data, business intelligence, ETL, and data warehousing. Educational background includes B.S (Computer Science) and Executive MBA (Master in Business Administration).

Duties of this data architect involved designing, developing, and implementing BI solutions using Oracle’s OBIEE suite of products to support the company’s reporting, analysis, and visualization requirements. In addition to designing and developing OBIEE metadata and dashboards based on user requirements, part of the job was managing Salesforce.com CRM application by formulating and executing approach for solution implementation within the CRM (Salesforce.com) application platform, including application configuration, user setup and familiarization, workflow setup, data conversion/ validation, configuration of reporting and user dashboards. Performing logical data modeling, physical data modeling (including reverse engineering) was done, along with maintaining the data dictionary using Erwin.

While in another job, the professional was involved with product development using Hadoop, Hive, HDFS, Sqoop, Impala, MySQL & Tableau. Other tasks were researching, recommending, and implementing enhanced technologies, as well as helping teams in the design, planning and governance of implementing projects of any kind. In a financial services firm, tasks were designing, constructing, modifying, integrating, implementing and testing event-based data models and database management systems in OLAP system. Technical requirements were defined for the data warehouse and recommended/selected data warehouse technologies (e.g., ETL, DBMS, Data Quality, BI).

Is impacting your organization with a Salesforce.com data analyst with work experience in real estate and banking industries a current business consideration? Educational attainment is composed of BS Management Information Systems and MBA Corporate Finance & Entrepreneurship. Technical & language skills consist of Salesforce, SSIS, SQL, Java and Visual Basic. Core competencies include Salesforce.Com Implementation & Optimization, Financial Analysis, Intercultural Communication and Mentoring.

While employed in a real estate company as a Salesforce.com data analyst, responsible for extracting, profiling and migrating data from various different systems into Salesforce using tools like Data Loader and Demand Tools. Other duties were traveling domestically and internationally to various markets as needed for data migration, as well as building and maintaining reports and dashboards as required. Moreover, performed ad hoc data analysis as required, as well as built relationships and gained cooperation with stakeholders to drive business results.

Part of the job as a Salesforce.com analyst/administrator in a bank was to provide process design improvements, implementation and optimization for Enterprise Salesforce.Com CRM tool. Additionally, proficient in using tools like Demand Tools, People Import, etc. for efficient Data Management and maintaining the integrity of the data entered in Salesforce.com Provided support to the sales teams for efficient leads pipeline management to drive business results and ensure accountability. Furthermore, delivered optimal solutions to groups of people with diverging business needs.

Would it be beneficial for your organization to employ a data analyst with experience working in apparel, government and banking industries? Educational attainment is composed of Bachelor of Engineering in Information Technology and Master of Science in Information Systems. Technical skills include Microsoft Dynamics CRM, SQL Server, JIRA, Primavera and SAP. Other technological expertise consists of .NET, Java, SQL Server, VBA, UNIX, XML, and web services.

Serving in an apparel company as a data analyst, participated in all aspects of SDLC; perform hands-on analysis, design, software development, testing and production support. This professional was responsible for SAP Ariba Downstream Application Implementation including Ariba BRW completion, Designing, Realization and Testing the Meijer SAP Ariba Downstream suite with Legacy Integrations and ECC Integrations. Also, was responsible for Ariba Downstream Full Lifecycle working with SI to attain a sustainable solution. Moreover, increased speed and memory efficiency by implementing code migration to convert Python code to C/C++. Additionally, optimized and tuned the Redshift environment, enabling queries to perform up to 100x faster for Tableau and SAS Visual Analytics.

As a data analyst in a government office, performed extensive data analysis using MS Excel and GAP analysis. Some of the tasks were managing workflow for RFP and RFI process and developed matrices to determine inefficiencies. Similarly, proposed solutions to expedite internal and external process of procurement and standardized internal procedures. Furthermore, developed dashboards on SharePoint using drill down and drill up, list, input fields and table, as well as developed and evolved Master Data Management services in partnership with strategic vendors.

Would a data engineer who is skilled in MS Dynamics CRM, MS Dynamics Great Plains, PeopleSoft and SAP, as well as familiar in IT services and business services industries help your organization achieve greater success? Technical specializations cover MS Dynamics CRM, MS Dynamics Great Plains, PeopleSoft, SAP, Salesforce, SQL Server, Oracle and Access. Educational attainment includes Bachelor of Science in Financial Management & Business Administration (minor in International Business).

Making a positive difference with acting as one of 10 integration engineers who managed over 400 vendors by updating and organizing clients into manageable tiers was one of the key focuses of this data engineer. Responsibilities covered resting, loading and processing files on a team of 5 integration engineers in Microsoft SQL Server including validation. Tasks consisted of identifying, evaluating and executing test requirements for test cases, as well as designing test coverage plans. Holding and facilitating test plan/case reviews with cross-functional team members were also carried out. Duties covered coordinating internal development and operation teams to define data requirements to support analysis needs.

Notable tasks included testing, designing and adding SharePoint tickets in Axosoft, in addition to analyzing tickets in Smartsheet. This individual executed completion of live dates through maintenance reporting which consisted of error reporting, billing, invoicing, account structuring, EDI implementation and data reporting. Functions involved executing the completion of reporting instructions through Microsoft Outlook for sales automation directors, sales reps and sales analyst through following and SAP Business Objects through Excel (XL Connector) within 45 minutes for completion.

Would a detail-oriented sr. data engineer with experience working in commercial services, software and financial services industries fit in your organization? Educational attainment is composed of Bachelor of Technology in Computer Science and Master of Science in Computer Science. Technical skills involve Cloud Technologies such as Salesforce CRM, AWS services (EC2, RDS, S3, Lambda), and MS Dynamics CRM. Expertise in coding languages consists of C, C#, SQL, PL-SQL, and Python. Also, adept in designing, implementing, optimizing, troubleshooting and delivering highly scalable and performance database solutions.

Some accomplishments included developing, deploying and scheduling SSIS packages to load data from different sources like Salesforce, CRM Dynamics, SQL server, flat files, Excel, etc. into data warehouse. While working in a commercial services company as a sr. data engineer, involved in understanding functional requirements, translation of technical documents and data mappings. Part of the job was to work on all phases of data warehouse development lifecycle, from gathering requirements, implementation, testing and support. Moreover, was involved in dimensional modeling of the data warehouse to design dimensions, facts, Star Schema and Snow flake schemas.

Shared expertise by participating in requirements gathering and creating functional requirements for migration of data from legacy SQL server to Microsoft Dynamics CRM. In a software company, developed SSIS Packages to move data from one database of a server (Partner) to another (CRM) using Web Services Call utilizing various transformations such as Multicast, Merge Join, Lookup, Fuzzy Lookup, Conditional Split, Aggregate, Derived Column, and Data Conversion Transformations.

Is impacting your organization with a data engineer with work experience in a general hospital, a medical center and a health system a current business consideration? Educational background is composed of Bachelor of Science in Computer Engineering & Management Information Systems and Master of Science in Computer Sciences and Engineering. Software skills include MS Dynamics CRM, Hadoop, Hive, Informatic Cloud Architecture, PowerCenter, Web Logic and Big Data. Also, experienced on healthcare systems such as Epic and Cerner.

While employed in hospital/medical center as a data engineer, worked with MS Dynamics with hands on CRM development with Azure integration with app logic development experience. Also, carried out API development for cloud to cloud app interfaces utilizing C# and JavaScript, as well as worked with healthcare, claims payment/processing systems and EDI transactions. In addition, worked with claims payment systems Epic, Facets, QNXT, and SOA architecture (WCF/WPF). Additionally, used healthcare systems such as Epic, Cerner, SOX, HIPAA, QNXT 837,835, 834, 270/271, 276/277, and HEDIS.

Part of the job as a data engineer, worked as a looker developer and worked with Dynamics CRM Solutions, Data Integration, ETL, Service Oriented Architecture (SOA), Enterprise Service Bus (ESB), and Enterprise Application Integration (EAI), SSIS, and SSRS. Similarly, completed configuration, troubleshooting, and supporting the hosted PIM instance, as well as created a PIM instance and set up Informatica PIM instance with user access. Furthermore, utilized Azure services, Databricks and automation tools including Azure Resource Manager, Puppet, Chef, Ansible to implement cloud operating model to enable Environment-as-a-Service and DevOps.