Enterprise Data Architect
CurrentDesign and implementation of enterprise data model for analytics and reporting as well as establishing core data products.
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@comcast.net
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4 phones found area 303, 720, and 866
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Eric Linden is listed as Solution/Data Architect with ex-Caserta/McKinsey folks at The Data Consortium at Comerica Bank, based in Littleton, Colorado, United States. AeroLeads shows a work email signal at comcast.net, phone signal with area code 303, 720, 866, and a matched LinkedIn profile for Eric Linden.
Eric Linden previously worked as Enterprise Data Architect at Comerica Bank and Founding Member at The Data Consortium. Eric Linden holds Mcis, Computer Information Systems from University Of Denver.
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Experienced business intelligence professional across multiple industries in enterprise data warehouse/departmental data mart design and big data cloud implementation. Also, migrations from legacy on-prem database systems to cloud solutions. Full life-cycle management and implementation including project planning and scoping, business analysis/requirements gathering, database architecture/design/modeling, cloud architecture, ETL/ELT architecture/development and report design/presentation/analytics.Over 30 years of cross-industry consulting experience in a Solutions Architect and Delivery Management role.Specialties: retail, manufacturing, banking, financial, mortgage, publishing, telecom, marketing analytics, clickstream, mutual funds, hospitality, data management/quality/catalog, metadata management and master data management (MDM)
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Dallas, Tx, Us
Design and implementation of enterprise data model for analytics and reporting as well as establishing core data products.
Toronto, Ontario, Ca
Performed and initial assessment and recommended architecture for a Cloud Enterprise Data Warehouse to support Tricon's reporting and analytics needs. Tricon's source data was spread across numerous source systems and needed to be consolidated and cleansed.Designed and implemented a target solution for Tricon to enable 360 visibility into residential properties, leases, and property management services.Architecture consisted of Snowflake on AWS, AWS account management along with networking policies, S3, EC2 and Matillion for ELT. PowerBI and Snowsight used for end-user consumption of data from the warehouse.
Austin, Texas, Us
Solution architect for enterprise architecture assessment and recommendations. Also conducted a limited launch prototype of centralized consumer hub. Tech included AWS, S3, lambda, Redshift, ElasticSearch, APIs, and ML for match/merge.
Stockholm, Stockholm County, Se
Contract role through Caserta.Responsible for driving the solution architecture specifically focused on data model to support required use cases and analytic analysis requirements. Additionally, helped design the data ingestion architecture, error trapping and operational metadata design and capture. Environment - Google Cloud, GC Bucket Storage, AVRO, BigQuery
New York, Ny, Us
Served as solutions architect/project lead for cloud implementation at Take2. Project included migration of existing Oracle Data Warehouse to Snowflake (AWS) as well as the creation of an S3 data lake for data science and ad hoc analytics. Subsequent to that, new data sources (not existing in legacy DW) were also incorporated into the new cloud data lake/Snowflake EDW environment.Also researched and provided tech stack recommendation for an Enterprise Data Hub to eliminate P2P data transfers. A functioning production prototype was developed. Technologies included: Snowflake, AWS/S3, Python, Athena, Sagemaker, ERStudio, Tableau, NiFi, Docker
Washington, Dc, Us
Served as Project Lead and overall Solution Architect for a Big Data implementation of marketing data including contact history, Sales Force Marketing Cloud, Adobe clickstream, Doubleclick and membership data. The solution provided the ability to do in-depth analysis of the activity of a individual through all touchpoints with the client. This allows marketing to better understand individual behavior and better target campaigns. The solution not only provided enhanced functionality over the legacy implementation, but also was much faster and easier to query and approximately 25% the cost of the legacy environment.Sources included Netezza, Adobe, SFMC, Doubleclick, KruxTechnologies included AWS, S3, EC2, Spark, Databricks, Redshift, Python, Athena, ERStudio, SAS and Tableau
Assessment project reviewing and recommending best practices and tools for implementing analytics cloud platform. Technologies AWS S3, Redshift, Snowflake, Databricks
Queens, New York, Us
Performed assessment of insurance claims analytics area and provided written recommendation of future state architecture including cloud datalake and data warehouse as well as skill assessment of future state team to build and support the solution.
Mclean, Va, Us
Consulted as Big Data Architect on project moving Auto Loan data from on-premise to the cloud. Cloud architecture was AWS with datalake in S3 and consumption mart in Snowflake. ELT was done within Snowflake via in-house metadata driven data movement tool.Responsibilities included data analysis, data model for raw and consumption layer in Snowflake, and documenting ELT rules for data loads.Reporting/BI layer was Tableau against Snowflake.Also did performance tuning and SQL tuning (including views to simplify SQL) in Snowflake environment.
Lead a four person team through the design, development and implementation of a rules based engine to apply data driven business rules against medical and pharmacy claims. The output of these rules was then aggregated and a second pass set of rules applied to diagnose diseases for the plan's members. Reporting analytics of diseases and claims paid by disease can be used to help determine the cost benefits of early detection and/or 100% covered well-care as a prevention method thereby decreasing future claims. In addition, the existing Data Warehouse environment was surgically re-engineered to eliminate significant performance challenges. Lastly, Tableau was introduced as the reporting and analytic tool. Semantic layer and sample reports were developed off the legacy DW structures as well as the newly create rules and disease diagnosis facts. Environment: SQL Server 2016, SSIS and Task Factory, ERStudio, Tableau
Amsterdam, North Holland, Nl
Served as Project Lead and overall Solution Architect for a Global Business Intelligence initiative. Subject areas included finance, sales and distribution, and supply chain. Generated global P&L statements with drillability to local GL and even to the sales order (material/product) level. Traveled worldwide to market locations for requirements gathering and user training.Sources included HFM, SAP, and Manugistics as well as home grown reference data and planning data upload system. Technologies utilized Netezza, Amazon Web Services-Redshift, Informatica, ERStudio and Microstrategy.
New York, Ny, Us
Research and design solution for integration of HR/Payroll data for Abu Dhabi campus employees into enterprise data warehouse.
Bethpage, New York, Us
Data Architect/Modeler for dimensional data model. Subject areas included connectivity orders, installation task tracking and circuit configuration/design.
Orlando, Fl, Us
(Orlando) Solution Architect for Enterprise Data Warehouse including central data repository and dimensional data marts. Responsibilities include design, data modeling, ETL architecture/strategy/implementation, and BI reporting architecture/design.(Indianapolis) Worked with the Wyndham Exchange and Rentals division to develop data warehouse in support of the various reservation systems. This included available properties to rent, completed reservations and customer account information.
Pawtucket, Ri, Us
Served as Solutions Architect/Tech Lead for a full-life cycle enterprise DW project including analysis, design, modeling, development, testing and deployment of a multi-phase worldwide data consolidation BI reporting initiative. Source systems included SAP, home grown material MDM system, as well as numerous feeds from ancillary systems used for royalties, point of sale data, and more. Platform was SQL Server, Informatica and Business Objects.
Atlanta, Ga, Us
Served as tech lead and architect of BI/DW for customer, product and account balance analysis and time-series trending.Data was sourced from OLTP account management system. DW platform was Oracle, Informatica and Cognos.
Project lead and dimensional data modeler for call detail records (CDR) and billing reconciliation dimensional data mart.
St Louis, Missouri, Us
Implemented a customer-centric data mart sourced from the Build-a-Bear store kiosks. This required standardization of names and addresses and deduping. Additionally, householding logic was applied. Once the data was scrubbed and loaded, reporting analytics provided household analysis of products purchased and trending by gender and age categories. Technologies included MS Sql Server, Informatica with FirstLogic, and Business Objects
New York, Ny, Us
Design, development and implementation of a medical claims processing dimensional data mart.
Washington, Dc, Us
Conducted Data Warehouse architectural assessment on existing Circulation Data WarehouseEvaluated existing architecture, topology of hardware, data model, ETL processing and Business Intelligence reporting tool.Provided client with architectural assessment including short term tactical solutions and a long term strategic solution in alignment with strategic business drivers.Modeled dimensional database and developed ETL process for loading.
New York, Ny, Us
Provided ETL design and development for multi-national financial reporting Data Warehouse.
Golden, Co, Us
Responsibilities included database design and DBA management for Sybase, Informix, and Oracle database systems for financial system, HR system and reporting services. Also had management responsibility for Unix administration, architecture and centralized storage systems (SAN).
Us
Sybase DBA for customer acquisition, marketing, and campaign management system. Primarily focused on analytics and reporting needs.
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Eric Linden works for Comerica Bank.
Eric Linden is listed as Solution/Data Architect with ex-Caserta/McKinsey folks at The Data Consortium at Comerica Bank.
AeroLeads has found 1 work email signal at @comcast.net for Eric Linden at Comerica Bank.
AeroLeads has found 4 phone signal(s) with area code 303, 720, 866 for Eric Linden at Comerica Bank.
Eric Linden is based in Littleton, Colorado, United States while working with Comerica Bank.
Eric Linden has worked for Comerica Bank, The Data Consortium, Mckinsey & Company, Moody'S Analytics Cre, and Transfix.
You can use AeroLeads to view verified contact signals for Eric Linden at Comerica Bank, including work email, phone, and LinkedIn data when available.
Eric Linden holds Mcis, Computer Information Systems from University Of Denver.
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