Below are the 3 Data Engineers, 4 Data Architects & 4 Data Analysts with Salesforce & other systems experience. The Thor Group® provides Salesforce experienced developers, software engineers, integration developers, architects, systems analysts, systems engineers & Salesforce software implementation specialists on a consulting, contracting or direct hire basis.

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.

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.

Could the future success of your organization be helped by this senior data engineer with experience working in publishing and information services industries? Educational attainment is composed of BS in Physical Sciences and PG Diploma in Applied Statistics. Technology skills include Salesforce CRM, Oracle, Cloud Data Warehouse, MySQL, Netezza, Postgres, Cassandra, MongoDB and Kafka.

Contributed to the organization by successfully completing an automated data pipeline for research and book publication events of data. Serving in a publishing company as a Enterprise Advance Analytics Platform (EAAP) senior data engineer, strongly handled different types of data sources and moved data seamlessly to ODS (Operational Data Store) and EDW (enterprise data warehouse). This was an ELT type data pipeline.

Supported organizational goals and objectives by effectively developing and designing a marketing data enrich pipeline. Acting as a senior data engineer and pipeline architect, technologies used were Salesforce, ELT, Python, REST API, Snowflake Data warehouse, Docker, AWS, and SAP-HANA API. The purpose was to support the marketing team to enrich marketing data which enabled understanding of the future trends. This was an ETL type pipeline. As a lead data engineer (data ingestion and processing) in an information services company, designed, developed, tested and deployed fast data pipelines, as well as designed and implemented source event schema which was useful for data science teams to produce wealthy analytics and insights as outputs.

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.

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).

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.

Would hiring an enterprise data architect with experience working in retail, biotech/pharmaceutical and banking industries help meet the needs of your organization? Software skills involve Salesforce.com, Teradata, Sybase, Oracle RDBMS, Netezza, PeopleSoft, SQL Server, WebLogic, Informatica and SAP.

In a retail company, acted as Data Architect Subject Matter expert (SME) and mentored as well as assisted technical staff in data governance and best practices for data modeling; ODS, Data Warehouse, Data Lakes, Business Intelligence and analytics, including database design and optimization and related activities. This professional created, implemented and tested procedures for backing up and recovering databases. Also, designed, created and implemented a Data Lake infrastructure for the Consumer Research initiative for a company using MemSql for Cloud data ingestion and integration. Moreover, worked with other architects to design data integration solution using Salesforce data from the Cloud with the traditional on-premise data stores using Jason, XML Schema and XML standards.

While working for a biotech & pharmaceutical company as an enterprise data architect, worked with other architects to design data integration solution using Salesforce data from the Cloud with the traditional on-premise data stores. Some of the tasks were developing and implementing test cases as required to accomplish the data transformation and conversion process. In addition, reviewed data warehouse applications design, build, and test plans to ensure they meet the functional and technical design specifications using standards. Furthermore, designed and developed Big Data infrastructure/ technology platform strategy by bridging the gap between the requirements of the application as it conformed to the client’s reference architecture with both onshore and offshore teams.

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.

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.

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.

Would it be beneficial for your organization to employ a sales data analyst with experience working in computer software and insurance industries? Educational attainment is composed of Associate of Applied Science in Computer Information Systems. Professional certifications involve Microsoft Office Specialist Excel 2013 Certification. Skills summary consist of Salesforce.com, HTML, XML and CSS. Other experiences involve Salesforce.com dashboard, workflow, form design, reports, as well as Microsoft Dynamics CRM dashboards, workflow, form design, and reports.

Serving in a computer software company as a sales data analyst, worked as the Salesforce administrator for outside and inside sales, technical support, and maintenance sales teams. Part of the job was to create all dashboards, queries, data imports and exports, 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. Additionally, created a renewal sales team of 12 reps exceeding sales goals for 9 years in a row, as well as created the process, policies, and hired team members wherein 9 reps were in the same office, 2 reps in France and 2 reps in the UK.

In an insurance company, this specialist determined mapping level and created XML code for transforming data to target system. Furthermore, provided data analysis on information provided by product managers and provided it in format for developers to work with.