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

What contributions could a data engineer who worked in rental, transportation and software industries bring to your organization? Educational attainment is composed of Master’s in Electrical and Computer Engineering. Has experience in database design, Programming, Development and Implementation of Client-Server Applications & Database systems using Microsoft Dynamics CRM, MS SQL Server 2014/2012, MongoDB and expertise in moving data into S3 file storage. Skills in DWH / BI Tools involve MS Dynamics CRM, AWS, Tableau, SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), and Business Intelligence Development Studio (BIDS).

Challenges like being involved in planning and development of data migration and performance tuning to achieve cost efficiency and effectiveness of the system were welcomed and successfully completed on a regular basis. Acting as a data engineer in a vacation rental marketplace, extensively worked with SSIS ETL Tool in creating and designing mappings using various transformations tasks like OLEDB Command, Conditional Split, Lookup, Aggregator, Multicast and Derived Column. Additionally, utilized business rules for data profiling, data analysing and cleansing. Moreover, created ETL procedures to transfer data from legacy sources to staging area and from staging area to data warehouse.

Shared expertise by using expertise in data migration from SQL on Perm to Cloud AWS. Also, built data sources, ad-hoc and Tableau reports and scheduled daily Extracts, as well as used hands on experience in building apps using C# which can extract the Pdf report from Tableau server and sending an e-mail to restricted email Group. Furthermore, built data source for Tableau Reports based on Requirement.

Is impacting your organization with a data engineer with experience working in insurance, financial services and restaurant industries a current business consideration? Educational attainment is composed of Master’s Degree in Computers Applications. Skills in ERP/CRM tools involve Salesforce, Siebel (SFA, CTI), SAP BW/BI, FICO, SD, P2P and OTC. Programming languages skills involve Java, J2EE, EJB, Pro C, C/C++, COBOL, SQL, PL/SQL HTML & DHTML.

While employed in an insurance company as a data engineer, worked with data scientists to build Data Models/ AI Models & Bots/ Machine Learning Models for RealTime Data Analytics and provided timely data for Customer Services in CRM /IVR / Agents Apps /Mobile Apps. Also, designed Data Lakes, migrating data into Cloud Databases in AWS, as well as ingested Data, Transformation/ Data View/ Semantic Layers. Additionally, developed Metadata/ Repositories/ Catalogs/ Data Quality/ Data Governance, etc.

Part of the job as a sr. Hadoop data engineer in a financial services company was to lead team of developers, developing Architectural Design documents, Analysis of Source-Target systems. Some of the tasks were writing scripts in JSON, XML, parsing XML to load data in SQL Server and building XML and JSON files. Furthermore, was responsible for schema definitions and storing data in HDFS, HBase, Cloudera, Yarn, and Apache systems.

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.

What can a senior data engineer with skills in Salesforce CRM, Oracle and SAP HANA, as well as background in IT, business services and publishing industries bring to your organization? Technical specializations involve Salesforce CRM, Oracle, SAP HANA, Snowflake Cloud Data Warehouse, Python, Apache Airflow, AWS, ELT, ELK Stack, Docker, Netezza, Postgres, Cassandra, MongoDB and Kafka. Educational attainment includes PGDip in Applied Statistics, Bachelor of Science in Physical Sciences and Reading Data Engineering.

Working with areas such as completing an automated data pipeline for research and book publication events of data was one of the responsibilities of this senior data engineer. This pipeline strongly handled different types of data sources and moved data seamlessly to ODS (Operational Data Store)as well as EDW (enterprise data warehouse). Data sources included SFTP and FTP Servers, CSV – Character separated files (comma, Pipe, tab), MySQL, Oracle, Netezza, Postgres, Cassandra, MongoDB, Salesforce, Kafka, REST APIs, Web Scraping and S3 bucket. Data Warehouse consisted of Snowflake Cloud Data Warehouse. This individual designed and developed the notification framework that could monitor irregular patterns in the EAAP data pipeline.

Functions in other jobs involved supporting the marketing team to enrich marketing data which enabled understanding of the future trends and effectively developing or designing a marketing data enrich pipeline. Technologies used covered Salesforce, ELT, Python, REST API, Snowflake Data warehouse, Docker, AWS and SAP-HANA API. Designing and implementing a well-founded maintenance-free pipeline were efficiently carried out. The job covered designing, developing, testing and deploying fast data pipelines, while also designing and implementing source event schema which was useful for data science teams to produce wealthy analytics and insights as outputs.

Would hiring a data architect who worked in oil/energy, military/government and banking industries help meet the needs of your organization? Technical skills consist of Salesforce CRM, Heroku, (DBaaS, SaaS, DaaS, PaaS, IaaS) for Oracle Cloud Adapters and Oracle Fusion. Programming languages skills consist of Scala, CQL, SQL, PL/SQL, T-SQL, Shell Scripts, Python, PERL, PHP, Java, JavaScript, C and C++. Educational attainment is composed of BS Computer Science and MIS Computerized Office Sys Specialist, Information Management System. Professional certifications earned: Oracle Certified Professional; Certified Expert, Oracle Real Application and Grid Infrastructure, as well as Oracle Certified Implementation RAC Specialist.

Acting as a data architect in an oil & energy company, assisted the global Salesforce teams with MDM defining Governance, Event and Domain data driven for several business segments. Also, conducted targeted data assessments, as well as worked with business and Salesforce teams to understand data sourcing, volume and velocity. Part of the job was to articulate design, implementation, and verification best practices for data activities in delivery projects as per business requirement.

While working as a sr. data architect/ member of the IT Cloud modernization/Transformation team, designed data integration and migration plans, advised executive stakeholders and POs. Moreover, performed MDM governance for several Biz Segments based on domain and event driven. Additional responsibilities were migrating several RDBMS ESB/OBIEE apps 1:1 Oracle 12c and to NoSQL and Big-Data AWS, Cassandra, Splunk, AWS Aurora RDS, and DynamoDB, PostgreSQL.

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 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.

Would a detail-oriented data architect with experience working in financial services, insurance and internet industries fit in your organization? Educational attainment is composed of Bachelor of Engineering (Electronics). Trainings attended include Oracle Financials and Oracle9i DBA. Professional certifications involve PMP and Informatica Cloud Data Management Specialist. CRM skills consist of Salesforce CRM, SQL, PL/SQL, Pro*C, PL/SQL Server Pages, FORTRAN and C.

Some accomplishments included building Fraud Investigation Management System (FIMS) on Salesforce platform to provide the business unit to capture the Fraud incident as it is initially received, and assess the fraudulent activity including the associated parties, incidents and financial exposure. As a Salesforce data architect in a financial services company, the specific historical data to be migrated will be identified during the Data Migration Assessment exercise. The Agile project was also involved in migrating an existing FCMS application to an on Cloud/Salesforce CRM application. Moreover, worked on analyzing the existing FCMS data and migrating them to a new FIMS Salesforce application. Furthermore, worked in creating the source to target mapping document, building Informatica jobs to migrate the FCMS data to Salesforce.

Shared expertise by working as a Data Architect and Informatica Cloud Specialist for implementation of marketing Cloud on the Salesforce.com platform. Acting as a data architect, was responsible for planning and facilitating functional requirements, business process review/development, supporting the developer in integrating data on the Salesforce.com platform. Salesforce CRM, Marketing Cloud, Informatica Cloud, and PowerShell scripting were used to build the project.

Would hiring a data analyst who worked in transportation, manufacturing and software industries help meet the needs of your organization? Professional certifications involve Salesforce Admin Certification and Certification as Microcomputer Applications Specialist. Technical skills consist of Salesforce.com Admin, Apex Data loader, HTML, SuccessFactors.com, MAS 90/200 and Siebel. Educational background is composed of AS Degree, Computer Information Science.

Acting as a data analyst in a marine vehicle company, provided year- end audit support for accounting, department managers and executives. Also, audited client’s MAS 200 database system for duplication and errors in customer records, removed errors, merged duplicate data, and exported job costing data into custom report in preparation for auditors. This professional provided Salesforce developer support, automation and customization of Salesforce data processes, custom reporting, data analysis, quality assurance, data cleansing, daily maintenance, etc.

While working for a software company as a sales planning data analyst, provided large-scale data cleansing services, pivot tables/custom templates, custom charting, summary regional analysis and report automation. Additionally, performed ad-hoc data research and reporting as requested by executive team and provided CRM administrator support, lead routing, maintenance of Siebel/Salesforce user profiles, reports, etc.

Would a detail-oriented data analyst with work experience in plastic and chemical industries fit in your organization? Educational background is composed of BS Chemical Engineering with Concentration in Life Sciences and MS Computer Information Sciences with Concentration in Data Analytics. Technological skills involve Microsoft Dynamics 365 CRM, Microsoft AX, Python, SQL, JavaScript, HTML/CSS, Visual Basic, Java, C++, C#, PHP and X++.

Acting as a data analyst in a plastic company, worked on Microsoft Dynamics 365 CRM administration and development. Some accomplishments included assisting in the installation, implementation, and maintenance of Microsoft Dynamics 365 CRM. Responsibilities included managing the system by performing system maintenance, providing user support/training, and creating custom solutions using JavaScript and C# to enhance the end-user experience. The job involved using SQL to synchronize the data in the system with the Microsoft Dynamics AX, as well as troubleshot errors and generated additional queries Statistical Data Analysis.

Shared expertise by performing statistical analyses on and detail the production capabilities of the product manufacturing process using Python. In web administration, maintained and enhanced the company website using the WordPress engine as well as custom HTML and PHP code. Assistance was provided in the relocation of material production from a partner facility by performing statistical and process capability analysis to ensure that the end products perform well within customer-driven tolerances. In addition, this individual used Python programming language to combine and process large quantities of historic laboratory test data in order to create research and marketing resources that detailed product property trends.