Below are the 4 Data Architects, 2 Data Analysts & 2 Data Engineers with strong technical skills and multiple CRM systems 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 it be beneficial for your organization to employ a data architect with experience working in technology services, financial services and telecommunications industries? Educational background is composed of BS Computer Science and Executive MBA (Master in Business Administration). Technical proficiencies involve Salesforce.com, Big Data: Cloudera CDH 5.1 Hadoop distribution (HDFS, Hive, Sqoop, Impala, and Hue) and BI Tools: Tableau, OBIEE, Business Objects & Pentaho. ETL skills consist of Informatica, OWB, Kettle, ODI (Oracle Data Integrator), and Cast Iron. Other expertise involves Data Warehouse (Oracle), Oracle, MySQL and AWS.

Serving in a technology services company as a data architect, managed 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 and validation, configuration of reporting and user dashboards. Also, performed logical data modeling, physical data modeling (including reverse engineering) and maintained the Data Dictionary using Erwin. Additionally, designed, developed, and implemented BI solutions using Oracle’s OBIEE suite of products to support the company’s reporting, analysis, and visualization requirements.

As a data architect in a financial services company, designed, constructed, modified, integrated, implemented and tested event based data models and database management systems in OLAP system. Moreover, defined technical requirements for the data warehouse and recommended/selected data warehouse technologies (e.g., ETL, DBMS, Data Quality, and BI). Furthermore, responsible for data modeling, data flow analysis and participated in data acquisition and access analysis and design, as well as archive, recovery, and load strategy design and implementation.

What contributions could a data architect with experience working in technology solutions, technology software and specialty finance industries bring to your organization? Educational background is composed of Bachelor of Science in Computer Science and Master of Business Administration. Technical skills involve NetSuite CRM, Oracle/SQL Server DBA, Salesforce/Big Machines, FirstLogic, HP Proliant ML325, Red Hat Linux ES 3.0, ColdFusion MX 6.1, Dreamweaver MX 2004, Apache 2.04, & MySQL 4.0.16, and Bugzilla.

Challenges like managing internal team of four (Oracle/SQL Server DBA; Salesforce/Big Machines Administrators; Business Analyst) were welcomed and successfully completed on a regular basis. Serving in a financial technology solutions company as a data architect, created customized Salesforce data model to meet requirements for migration from NetSuite CRM to Salesforce. Part of the job was to create PL/SQL package and shell script to extract data from NetSuite CRM for import into Salesforce. Additionally, provided application continuity support for migration of servers to proprietary data center.

Shared expertise by installing, configuring, and executing FirstLogic software to standardize & de-duplicate Account, Address, and Contact information in NetSuite CRM. Acting as a data architect in a technology software company, customized Siebel data model and performed data mapping of legacy customer care and billing system data into Siebel. Other duties were supervising 2 programmer/analysts, as well as managing external vendor development of company’s primary online product.

Would a data architect who is skilled in NetSuite CRM, SAP, Oracle, Salesforce, SQL and PL/SQL, as well as familiar with IT services and business services industries help your organization achieve greater success? Technical specializations cover NetSuite CRM, SAP, Oracle, Salesforce, SQL and PL/SQL. Educational attainment includes Bachelor of Engineering, Electronics and Electrical Engineering. This individual is a Certified Salesforce Data Architect.

Making a positive difference with leading end -to-end business intelligence (BI) and data analytics implementations for multiple business processes including finance, supply chain, vendor management and partner management were some of the key focuses of this data architect. Duties involved conducting data workshops with business leads to understand the reporting requirements, building BI architecture and designing ETL pipelines. One of the responsibilities covered implementing data strategy and higher ED ERP solution using Ellucian banner to have a reliable student information system process for universities.

Notable tasks in another job included leading the overall delivery of cloud data migration/ingestion and data warehouse solution including project planning, design and implementation for multi-billion dollar clients, as well as implementing the robust ETL Solution using technologies like Informatica, Talend, Dell Boomi on both on-premise and cloud infrastructure. This individual defined the entire data architecture using SQL, GCS, GCP Big Query and GCP Data Studio. An additional role covered implementing the robust MDM and CRM solution to help clients increase its cloud sales revenue from $5B to $17B. Earning functional expertise on Salesforce CRM Sales Cloud, Partner and Service cloud as well as AR/AP and GL in ERP Cloud (NetSuite) was one of the achievements.

Can hiring an enterprise data architect with knowledge in retail, biotechnology and pharmaceutical industries have a positive impact on your organization? Technical skills cover using Salesforce CRM and SAP, as well as Oracle MuleSoft, PeopleSoft, DB2, PeopleSoft, DB2, Hadoop, AWS- (Redshift, EMR, EC2, S3, Route53); MapReduce, HDFS, HBase, Zookeeper, Hive, Pig, Sqoop, Cassandra, Oozie, Flume, Chukwa, Pentaho, and MemSql.

This enterprise data architect provided data architect subject matter expertise (SME) and mentored or assisted technical staff in data governance as well as best practices for data modeling, ODS, data warehouse, Data Lakes, business intelligence/ analytics, database design/ optimization and related activities. Major responsibilities included creating, implementing and testing procedures for backing up and recovering databases, along with designing, creating and implementing a Data Lake infrastructure for an initiative using MemSql for cloud data ingestion and integration. Part of the job was working with solutions architect/s to provide a consensus-based enterprise solution that was scalable, adaptable and in synchronization with ever changing business needs. The professional worked with other architects to design data integration solution using Salesforce data from the Cloud.

In another job, responsibilities involved working with other architects to design data integration solution using Salesforce data from the Cloud with the traditional on-premise data stores. Test cases were developed and implemented, as required to accomplish the data transformation and conversion process. Review was done on data warehouse applications design, build, and test plans to ensure they met the functional and technical design specifications using standards. The individual handled design and development of Big Data infrastructure/ technology platform strategy by bridging the gap between the requirements of the application.

Would hiring a data analyst with experience working in financial services and banking industries help meet the needs of your organization? Tools and technological skills involve Microsoft Dynamics CRM, Microsoft SQL Server, Google Analytics, SAS 9.3, Oracle 11g, Apache, Tableau, QlikView, HTML5, CSS3 and MySQL.

Acting as a data analyst in a financial services company, designed dashboard using POWER BI tool in MS Dynamics which are KPI and KRI. A dashboard provides important business insights such as yearly investment, analysis of investment opportunities, and geographical investment. Also, designed test cases for Microsoft Dynamics to check the functionality and performance of the cloud. Moreover, used Microsoft Dynamics to manage and populate investor’s data, audit plans and budget in CRM on a regular basis. Additionally, used Microsoft Dynamics for lead generation and perform troubleshooting for platform stability in CRM, as well as performed the quality assurance and testing database in CRM to ensure data integrity. In addition, presented design of proposed CRM functionality to the team and document the business process, as well as recommended improvement to stakeholders to support company’s growth and strategy.

While working for a financial services company as a data analyst, developed project charter defining stakeholders, scope of project, timeline, benefits, business problem, constraints, cost estimation, project strategy and scope, and context diagram. In addition, used standard business analysis methodology to define use case, business process flow and system specification. Furthermore, designed and developed use cases, activity diagrams, and sequence Diagrams using MS Visio and shared with project team to give them good overview of the system requirements and business needs.

Could the future success of your organization be helped by this data analyst with experience working in technology services, market research and software industries? Educational attainment is composed of Bachelor of Arts. Professional certifications involve TESOL Certification. Software skills consist of Salesforce.com CRM.

Contributed to the organization by being in charge of data integrity and data analysis of multiple Salesforce.com instances. While working in a technology services/software company as a data analyst, responsible for running and analyzing Salesforce.com reports pertinent to sales and marketing teams. Some of the tasks entailed lead entry, lead assignment and campaign tracking within Salesforce.com, as well as converting leads to accounts, converting leads to opportunities, adding new account information, verifying validity of new accounts, legal business listings, and adding contacts to campaigns in Salesforce.com. Moreover, set up campaigns in Salesforce.com and added fields and values to existing fields in Salesforce.com. Additionally, was responsible for taking lead data and inputting information for sales opportunities into Pivotal.

Supported organizational goals and objectives by analyzing survey data and focus group data. While employed in a market research company as a data analyst, wrote reports from analyzed data, as well as responsible for moderating focus groups. Furthermore, managed 3 employees that conducted phone surveys and recruited focus group attendees.

Could the future success of your organization be helped by this data engineer who is proficient in Salesforce CRM, Salesforce Objects and Oracle, as well as work background in IT, business services and insurance industries? Technical competencies involve Salesforce CRM, Salesforce Objects, Oracle, Hadoop, Python, Spark, Perl Scripting and UNIX Shell Scripting. Educational background includes Master of Science in Electrical and Computer Engineering, as well as Bachelor of Engineering in Electronics and Communications.

Important contributions of this data engineer included designing and leading the development of ETL applications supporting several complex business analytics including channel analytics, product attribution, and member-centric call analytics. The job entailed working with the business SMEs in an Agile development approach to understand the business rules required for the analytics, with a constant feedback loop throughout the development process to refine the rules. Part of the tasks covered creating ETL design specifications with a strong emphasis on externalizing the business rules to give the user ability to change the rules on fly. Salesforce Objects were created to capture the rules and tabs were created for users to be able to modify the rules.

This specialist designed and developed a reusable PySpark ETL Utility, a utility that allowed users to build complex ETL Flows in Hadoop leveraging the power of PySpark and in particular Spark SQL. Other proficiencies involved leading and guiding large multi-year data analytics projects with teams ranging from 5 to 10 developers, working in a wide range of projects, building complex data analytics, merging data warehouses as part of enterprise level merger of companies, migration of data warehouses and BI Applications across different platforms.

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.