Below are the 4 Data Engineers, 4 Data Analysts & 4 Data Architects with Salesforce CRM & other systems experience. The Thor Group® provides Salesforce business analysts, project managers, systems analysts, systems administrators, systems engineers, developers & Salesforce software implementation/training professionals on a consulting, contracting or direct hire basis.

Senior Data Engineer with Salesforce CRM, MS Dynamics and Informatica Skills. Knowledgeable in C, C#, SQL, PL-SQL and Python. Experienced in IT, Business Services and Banking Industries. 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.

How can your organization gain an advantage with the help of a data engineer who is skilled in Salesforce Lightning, Azure DevOps and Oracle with work background in a health network? Technical skills cover Salesforce CRM, Salesforce Lightning, Azure DevOps, Oracle, SQL Server, Azure Cosmos DB, HTML, CSS, JavaScript and Python. Educational attainment includes MS in Management Information Systems and B. Tech in Information Technology.

While working for a health network, one of the main functions of this data engineer involved creating a reporting framework to transform JSON data from Mongo DB to a Power BI reportable format using Azure Data Factory pipelines. This individual built and maintained scalable automated reports and dashboards in Power BI that communicated the status of incoming data to business leaders. Key alerts were integrated from reports to Slack channels to notify issues in a timely manner. Standardizing metrics across the organization and establishing KPIs that reported progress/ performance of a participant were some of the duties.

Notable tasks included creating ETL workflows to extract and transform data from multiple incompatible data sources (JSON, CSV, XML) and storing them in an SQL Data Warehouse for analyzing cost efficient programs and improving decision-making. Responsibilities consisted of designing and developing APIs using Azure API management to connect the web interface to the SQL Server backend tables in real time to request data. Accomplishments in another position covered reducing the lead time by 75% replacing a manual error detection system, along with implementing multiple views, procedures and user defined functions to consume raw data files into SQL Server database tables for preprocessing and cleansing incoming data.

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.

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 a detail-oriented data analyst with experience working in software, technology services and market research industries fit in your organization? Educational background is composed of Bachelor of Arts. Professional certifications involve TESOL Certification. Technological knowledge consists of Salesforce.com.

Some accomplishments included being responsible for data integrity and data analysis of multiple Salesforce.com instances. Serving in a technology services and software industries as a data analyst/data integrity specialist and Salesforce administrator, tasks involved running and analyzing Salesforce.com reports pertinent to sales and marketing teams. Some of the jobs included 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 valid new accounts, legal business listings, and adding contacts to campaigns in Salesforce.com. Also, was responsible for setting up campaigns in Salesforce.com, as well as capable of adding fields and values to existing fields in Salesforce.com.

Shared expertise by analyzing survey data and focus group data, as well as writing reports from analyzed data. While working in a market research company as a data analyst, this individual was in charge of moderating focus groups. Additionally, managed 3 employees that conducted phone surveys and recruited focus group attendees.

How can a Salesforce.com data analyst with work experience in real estate, banking and financial services industries help your organization? Educational attainment is composed of BS Management Information Systems and MBA Corporate Finance & Entrepreneurship. Technical skills involve Salesforce CRM, SSIS, SQL, Java and Visual Basic.

Working with challenging issues such as extracting, profiling and migrating data from various different systems into Salesforce using tools like Data Loader and Demand Tools have vetted this specialist’s work experience. While working in a real estate company as a Salesforce.com data analyst, travelled domestically and internationally to various markets as needed for data migration, as well as built and maintained reports and dashboards as required. Some of the tasks were performing ad hoc data analysis as required, as well as building relationships and gaining cooperation with stakeholders to drive business results. Also, contributed insights to the team for native and third-party applications from SFDC which would help solve a business issue/problem.

With a “can do approach” in the area of providing process design improvements, implementation and optimization for Enterprise Salesforce.Com CRM tool have been career objectives. While employed as a Salesforce.com analyst/administrator in a bank, 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. Part of the job was to provide support to the sales teams for efficient leads pipeline management to drive business results and ensure accountability.

Would hiring a Salesforce developer/data analyst who worked in management consulting, digital marketing and automotive industries help meet the needs of your organization? System skills involve Salesforce CRM, MySQL, Domo, Zoho, Jira/Confluence, AWS EC2, AWS S3, SQL Server and ZenDesk.

Acting as a Salesforce developer/data analyst in a management consulting and software research company, developed, deployed and managed Salesforce system facilitating the merger of the two companies into a single system. Part of the job was to invent 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. Additionally, developed data normalization script utilizing Django, Python and SQL.

While working for a digital marketing company as a data analyst, designed, deployed, integrated and administered companies Customer Relationship Management tools with Marketing, Technical Operations and Product Delivery teams into a centralized data collection and reporting systems. While employed in an automotive company for product development, researched, developed and defined requirements to create an equity-mining tool to add to DT s digital automotive sales offer. Furthermore, integrated products into all four existing DT digital sales systems ultimately enabling sales automation in the retail automotive space.

Could the future success of your organization be helped by this data analyst with experience working in computer software and financial services industries? Educational attainment is composed of Associate of Applied Science in Computer Information Systems. Professional certifications involve Microsoft Office Specialist Excel 2013 Certification. Technical skills consist of Salesforce.com, HTML, XML, CSS, PL/SQL and MS Dynamics CRM. Computer experience involves Salesforce.com dashboard, workflow, form design, reports, as well as Microsoft Dynamics CRM dashboards, workflow, form design and reports.

Contributed to the organization’s success by creating a renewal sales team of 12 reps exceeding sales goals for 9 years in a row, as well as creating the process, policies, and hiring team members. Serving in a computer software company as a sales data analyst, created baseline analytic reports for sales and marketing team. Also, served as a member of the migration team, responsible for data cleansing, creating and providing all training materials to all new users company wide. Moreover, worked as the Salesforce administrator for outside and inside sales, technical support, and maintenance sales teams, as well as created all dashboards, queries, data imports and exports, including report creation or testing if report was done outside Salesforce. Data imports included large quantities of data. When a company was acquired, data had to be cleaned and put into proper format prior to importing.

The job entailed determining mapping level and creating XML code for transforming data to target system. While working for a financial services company, provided data analysis on information provided by product managers and provided it in format for developers to work with.

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, Cloudera, 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 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 opportunities can having a data architect who served IT, financial services and engineering industries give your organization? Technical expertise includes the use of Salesforce CRM and Oracle, as well as Pentaho, Business Objects WebI, Agile, Informatica, DB2, TeraData and SAP BW.

In a computer firm, this data architect was into developing Business Objects universes and reports. Gap analysis was performed between existing data and new data sources. Other duties included documenting strategy for data movement from data sources. Assistance was given to ETL developers, as required; volume test data was created. Part of the job was documenting source to target data mappings with business rules and transformation rules. Requirements were gathered and documented from source entities, process developers and data consumers. The individual developed data models: ERWin for Salesforce and CISCO, Embarcadero with NVIDIA. Project Plans were created, and contributions were given to existing plans.

Duties in another job involved transforming case management data and account data from current Case Management tool into Salesforce. The job called for developing functional specifications for all data migration objects which migrated from Case Management system into Salesforce. Use-case functional specifications were built for Case Management. Other tasks were training, coaching, and mentoring new data analysts, developers and QA analysts on source to target mapping documents. Additional functions were designing, developing, and maintaining a table used to store pick-list values for different objects, fields, and mappings. The individual designed migration strategy for Case Management data, as well as validated account data after loading into Salesforce. The job required participating with a team of data architects in the development of a canonical data model.

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.