Below are the 3 Data Architects, 3 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.

Could the future success of your organization be helped by this chief data architect with work experience in consulting, consumer services and telecommunications industries? Educational attainment is composed of Master of Science in Physics and Electronics. Professional certifications involve COMPTIA Security+ Certified and ITIL Foundation Certified in IT Service Management. Technological knowledge consists of NetSuite Customer Relationship Management (CRM), Certain Event Management, GroupOne and FirstLogic Data Standardization and Matching tool, PeopleSoft Customer Relationship Management (CRM), Student Administration (SA), PeopleSoft Portal, NET Web Applications and Corporate Portals, as well as Database Design, VLDB, ETL, Performance Tuning, Visio and Project.

Contributed to the organization’s success by pioneering in creating, architecting, and deploying a large number of software applications for Legacy platforms, Internet platforms and Mobile platforms. While employed in a consulting company as a technology and management consultant, led highly motivated and passionate engineering team on emerging technologies to develop and deliver innovative business solutions.

Supported organizational goals and objectives by serving as chief data architect of the cloud and on-premises hybrid solution, ensuring tight data integration to enable precise targeting and marketing to prospective students. As a chief data architect in a consumer services company, conceptualized solutions that leverage technology to fulfil organization’s goals while optimizing efficiency and cost savings, driving growth, and differentiating from competitors. Additionally, experienced in designing and implementing Data Warehouse, Extract, Transform, and Load (ETL) solution, Data Integration and Workflow Solutions using Microsoft SQL Server Integration Services (SSIS). Prominent achievements were serving as a key implementer of NetSuite Customer Relationship Management (CRM) that took out-of-the-box functionality to the next level by automating tasks to streamline the sales process, resulting in immediate pipeline visibility and 75% time savings.

How can a data architect who worked in software, engineering and financial services industries help your organization? Technical skills involve Salesforce CRM, Embarcadero, ERWin, MS Project, DB2, MS SQL Server, Oracle, Unix AIX, Pentaho, Business Objects Webi, and Agile.

Working with challenging issues such as developing data models: ERWin for Salesforce and CISCO, Embarcadero with NVIDIA have vetted this specialist’s work experience. Serving in a software company as a data architect, developed Business Objects Universes and Reports, as well as performed gap analysis between existing data and new data sources; documented strategy for data movement from data sources. Assisted ETL developers as required; created volume test data. Additionally, documented source to target data mappings with business rules and transformation rules as well as gathered and documented requirements from source entities, process developers and data consumers.

The job entailed transforming Case Management Data and Account Data from current Case Management tool into Salesforce; developing Functional Specifications for all data migration objects which migrated from Case Management System into Salesforce. While working in an engineering company as a data architect/data analyst, validated account data after loading into Salesforce, as well as participated with a team of Data Architects in the development of a Genentech Canonical Data Model. Furthermore, developed Data Model for Case Management Migration Data and integrated the model into the Canonical Data Model.

Is employing a Big Data architect who worked in IT, pharmaceutical and tobacco industries a good move for your organization? Systems background covers using Salesforce CRM, AWS, Hadoop and NoSQL, as well as Python, R, UNIX K Shell, C Shell, Bash, JavaScript, Redshift, S3, Glue, MapReduce, HDFS, Hive, Pig, Sqoop, Flume, and MapR Kafka Streams. Expertise is also in building solutions for analytics applications using Big Data technologies. The individual graduated with Bachelor of Technology in Engineering.

Serving an IT company, this Big Data architect was involved in 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. Apart from working with business subject matter experts to gather the source data requirements, list of subject areas and entities needed to source into Data Lake, logical data models were created for ERP, POS and Salesforce Data Lake entities. Other tasks were working on data profiling and data quality analysis, along with setting up Redshift clusters and S3 buckets on AWS, as well as designing and developing data ingestion process to load data in to S3 and Redshift.

Another job entailed working on architecture and development of commercial analytics, business intelligence reporting and MDM Solutions, as well as designing and developing 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. Additional functions were designing and developing process to ingest data into Data Lake MapR streams (Kafaka).

What contributions could a data analyst who worked in software, automotive and semiconductor industries bring to your organization? Skills consist of Salesforce.com systems, Salesforce Admin, MySQL, Domo, Zoho, Jira/Confluence, AWS EC2, AWS S3 and SQL Server.

Challenges like developing, deploying and managing Salesforce system facilitating the merger of the two companies into a single system were welcomed and successfully completed. As a data analyst/Salesforce developer in a management consulting/software/research company, invented methodology to determine colligate athletic openings at colleges nationwide across all sports. Some of the tasks were inventing methodology to collect and analyze colligate athletic program recruiting behaviours, as well as orchestrating the collection of 3.5m rows of college roster data. Also, developed data normalization script utilizing Django, Python and SQL, as well as deployed and managed cloud-based AWS server.

Shared expertise by designing, deploying, integrating and administering companies’ customer relationship management tools with marketing, technical operations and product delivery teams into a centralized data collection and reporting systems. As a data analyst, researched, developed and defined requirements to create an equity-mining tool to add to DT’s digital automotive sales offer. Furthermore, performed product integration on all four existing DT digital sales systems ultimately enabling sales automation in the retail automotive space.

Could your organization use a data analyst / engineer who is proficient in MS Dynamics 365 CRM, Power BI, JavaScript and Report Builder, as well as experienced in government, aerospace and business services industries? Technical proficiencies cover MS Dynamics 365 CRM, Power BI, JavaScript, Report Builder, JSON, ASP.NET, ADO.NET and Visual Studio. Educational attainment includes Associate of Science in Computer Programming. This individual is a Certified Scrum Master with additional training in MS Dynamics 365 CRM (MB 210, 220 and 230).

Primary tasks of this data analyst included interviewing solution providers and analyzing proposals in selecting an appropriate provider to create a department wide project in creating a central identity management portal for the departments’ 19K users. Creating and documenting all requirements while working closely with the selected vendor’s development team were also handled. Key roles covered communicating adjustments to constantly changing structures, processes and requirements to the department heads or directors, as well as leading functional reviews, user acceptance testing and all data transformations. One of the duties involved leading the development and implementation of a Microsoft Dynamics CRM student relationship module.

Part of the contributions involved developing many features by creating custom entities, workflows, queues and reports, automating the scholarship processing based on student qualifications, award ranking and scholarship budgets thus significantly reducing the workload to process the thousands of scholarship applications annually. Automating the scholarship application process for students was done by providing self-service features such as account creation, enrollment registration and automated correspondence. This individual created web services providing integration and synchronization with the departments’ scholarship entitlement database and public facing web portal.

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.

Would hiring a sr. ETL/data engineer with work experience in IT services and computer solutions industries help meet the needs of your organization? Educational attainment is composed of Bachelor of Engineering in Electronics and Communications Engineering and Master of Science in Electrical and Computer Engineering. Technical skills involve Salesforce CRM, Hadoop, Python, Spark, UNIX Shell Scripting, Business Objects, BO Xcelsius Dashboards and Perl Scripting. This professional worked extensively with PYTHON and SPARK 2.1.0 to perform complex data processing, as well as designed and developed a reusable Framework using Pyspark to do data transformations and automated data validations in Hadoop. Moreover, has extensive experience in leading and guiding large multi-year Data Analytics projects with teams ranging from 5 to 10 developers.

Acting as a sr. DTL/data engineer in an IT services company, created 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. Additionally, worked 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 job was to design and develop a reusable Pyspark ETL Utility, the utility allowing users to build complex ETL Flows in Hadoop leveraging the power of Pyspark and in particular Spark SQL.

While working for another IT services company, upgraded the Data stage environment from 7.5.1 to 8.1 and Oracle database from 9i to 11i. Some of the tasks were designing and developing new ETL processes, as well as working as a Data Stage Architect at a leading pharmaceutical client supporting efforts to maintain and enhance ETL applications loading into the current Insight data warehouse.

Does a senior data engineer who has experience in IT, business services and banking industries pique your interest? Technical knowledge includes Salesforce CRM, MS Dynamics, Informatica, C, C#, SQL, PL-SQL and Python. Educational background includes Master of Science in Computer Science and Bachelor of Technology in Computer Science.

Major responsibilities of this senior data engineer understanding functional requirements and translating technical documents or data mappings. Key roles covered working on all phases of data warehouse development lifecycle, from gathering requirements, implementation, testing and support. This individual was involved in dimensional modeling of the data warehouse to design dimensions, facts, Star Schema and Snowflake schemas. Developing, deploying and scheduling SSIS packages to load data from different sources like Salesforce, MS Dynamics CRM, SQL Server and flat files into the data warehouse.

The job covered developing reports and dashboards, as well as creating subscriptions for internal business users, HR team, clients and for higher management using SSRS, POWER BI and Tableau. The standard process template was created for all the SSIS packages which was later used throughout the company. Tasks consisted of managing DBA activities to backup/restore databases, troubleshoot security/ performance issues, clustering, replication, monitor of space utilization and add space as required, high availability and disaster recovery. Comparing different business Intelligence tools like Tableau, Domo, Tibco Spotfire, Power BI and Sisense, as well as suggesting Tableau for managers based on business user requirements, cost and ease of use were completed. Areas of expertise included designing, implementing, optimizing, troubleshooting and delivering highly scalable and performance database solutions.

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.