SummarySeasoned Senior Data Engineer possessing in-depth knowledge of RDBSM environments, ETL techniques, architecture, data modeling, and integration between systems. Offering 10 years of background managing various aspects of development, design, and delivery of database solutions. Analytical, passionate, and aspiring leader bringing proven communication and organizational abilities. Seeking a full-time remote position. SkillsExpertise in Microsoft SQL Server Management Studio (2005-2019)Microsoft Certified Professional DesignationMicrosoft Database Fundamentals DesignationTemporary Tables, DLL statements, Loops, Schema creations, Common Table Expressions, View, Dynamic SQL scripts, Merge statements, Indices, Performance Tuning, Triggers, Functions, Store Procedures, Joins, Parametrization, Cross Apply, Outer Apply, Automation, Job Creation, Scheduling, Environment Variable, Deployment, Variables, Store Procedures, Pivots, Performance TuningExpertise in BIDS Visual StudioExtraction from various sources (e.g. flat files, DBs, XML, etc.), Dynamic SQL, Automation, Deployment, Parameterization, Looping, Program Process Executions, Custom coding using Script Tasking, Flat File XML File Creation, UTF-8 conversion, Merge SCD implementationAdept Excel UserPivots, use of Macros, Formulas, Charts, Tabular data from SSAS cubesData Architecture and ModelingUse of Star and Snowflake Schema, utilizing tools like Visio to create Flow Charts, using data modeling tools like SQLDB to create denormalized structures, creating business specific entities to create balance between efficiency and use caseOracleFamiliarity and use of PL-SQL, corroborated financial reports using Oracle Transaction Business Intelligence (OTBI) and the UCM as wellFamiliarity of Presentation Layer ToolsSalesforce, Tableau, Qlikview, SSRS, OTBISubject Matter ExpertDeep IT derived knowledge in business operations including Finance, Accounting, Marketing, Underwriting, Compliance, and some Specialty Risk ProgramsOther Pertinent SkillsAgile Hybrid KANAN Waterfalls methodology, Familiarity with AzureDevOps, GitHub, TFS, Skilled Design DocumentationPersonal SkillsDiligent, Adaptive, Organized, Methodical, Analytical, Honest Blunt. Experience07 2016toCurrentData Engineer IIICrown Castle Usa Inc Salt Lake City,UT,Development Utilized various IDEs including Visual Studio, SQL Server Management Studio, Astera Centerprise to build ETL solutions.Created dynamic SQL to drop recreate objectsUtilized Activity Monitor -type tools such as FogLight and Solarwinds DPA tool for bottlenecks.Created technical and operational audits within process to better catch issuesPerformance tuned process cutting down an 8 hour process to 5 minutes.Created and ingested delimited files.Created pivot structures within SQL taking data and transposing it in the other direction (e.g. horizontal data to vertical).Utilized VB and C languages to create custom Script Task components to use in ETL solutions.Integration Integrated claims personal and commercial lines products.Extensively developed, piloted, and implemented integration solution between OLTP data and Salesforce created API pipeline delivering quote details to business thereby allowing them to make key decisions with agents.Created data consumption and delivery solutions for claims including (though not limited to) sending flat files to vendors containing company data, receiving, decompressing, unpacking, ingesting data, creating a wrapper shell on a program that was called by SSIS solution, dynamically recreating .dll with parameterized inputs.AnalyticsResearched financial disparities between Oracle and T-SQL restructured formatSequenced data dictionary from Oracle to extrapolate and originate data sources to better deliver solutions.Created pivoted OLAP-Tabulated SSAS structures to help display intersection of trends and data.Reporting Created canned, subscription, and ad hoc reports for business stakeholders sectors including finance, claims, actuary, legal, statistical, statutory, marketing, and underwriting.Substantiated differences between expected and actual results in control reports allowing business to see disparities.Architecture Architected a SCD Type 1 , 2, and 3 denormalized and normalized structures.Created conceptual, logical, and physical data models by utilizing tools such as Visio, SysDiagram, and SQLDBM.Leadership Led and organized scrum status meetings. Provided guidance and focused delivery tasks to colleagues whilst assessing for gaps.Provided instructional and informational background on projects to new comers detailing them thoroughly on the historical and current SDLC processes, lessons learned, etc.Piloted groups to create best practices and code vetting review within organization.Organizational Incorporated various methodology including (though not limited to) Waterfall, Agile, KANBAN, Hybrid.Created several detailed design documents, some serving as a standard and template for other developersCoordinated project management updates to determine project scopes and limitations.Managed performance monitoring and tuning while identifying and repairing issues within database realm.Part of SWAT delivery service a team designed to tackle high velocity and profile requests in company. Managed solution implementation for several high-profile projects from start to finish.12 2014to07 2016Application DeveloperHoneywell Deer Park,TX,DevelopmentCreated ETL solutions using Visual Studio and SQL Studio Management Studio.Parsed and massaged data into Guidewire specific formats following tight editsPromoted and automated ETL processesPerformance tuned existing queries to cut down on time, reducing overall process from 2 hours to 8 minutes.IntegrationIntegrated commercial and personal lines Farm and Ranch insurance products into Guidewire Claims Center.Worked closely with business stakeholders to understand data whilst also pushing for system-originated corrections where fixes could not be done via ETL.LeadershipMentored colleagues and fellow testers in T-SQL scripting.OrganizationalUtilized Agile Methodology and TFS to check in out code from repository.Created design documents detailing process and flow.Worked closely with business stakeholders to understand requirements and provide deliverables per their specifications.EducationalActively sought out areas to increase insurance domain of knowledgeEnrolled and successfully completed AINS 24 offered by The Institutes.Informed and trained with Guidewire and SAP HANA software.Became Farm and Ranch SME for data.03 2013to10 2014ETL DeveloperAmerican Homes 4 Rent Cincinnati,OH,DevelopmentCreated complex integration solution to ingest and parse row-delimited flat files using the Fi-Serv Data model.Ingested outputted files from FNMA and FHLMC.Further refined this data using ETL based on business end user requirements.Participated in code review sessions with colleague to assess bottlenecks, strategize resource consumption, kill deadlocks, and tailor code to become more I O efficient.Created an SDLC lifecycle for process flow including environments for development, testing, and production.Installed and Upgraded SQL Server Studio.IntegrationDelivered outputs using webservice calls fetching unique system-originated keys from OLTP system to use within T-SQL.LeadershipTrained and mentored users on how to utilize T-SQL and create simple SSIS packages.Cross-trained colleagues on ETL solution.OrganizationalCreated several design documents detailing pipeline of ETL solution, caveats limitations, and future development requirements. Education and TrainingExpected in12 2011totoAssociate of Arts Collin College-Frisco, TX,GPA Summa Cum Laude Honors graduatePhi Theta Kappa International Honor Society memberSigma Kappa Delta National English Honor Society memberStudent Leadership Academy graduate  SEP  The Senior Manager, Data Architecture Data Engineering is responsible for translating business strategic goals into future-state data engineering and data science solutions. This includes delivery full life-cycle from execution roadmaps, to implementation, and to production operations. This role drives the creation and maintenance of enterprise data and analytics capabilities, data reference architectures, and integrated data analytics technology roadmaps that will guide our strategic investments and enterprise strategy.Translate business strategic goals into actionable future-state data engineering and data science architectures and solutions.Delivery of full life-cycle Data Solutions from execution roadmaps, to implementation, and to operations. This includes a specific focus on ELT and ETL Data Pipeline solutions from inception to production.Lead end to end solution delivery of enterprise data warehouse, data marts, and data lake with governance.Drive the creation and maintenance of enterprise data and analytics capabilities, data solutions, and integrated data analytics technology roadmaps that will guide our strategic investments and enterprise strategy.Deliver architecture connecting Data Science, Data Engineering, and Data Analytics practices together to deliver impactful data products.Strong partnership with DevOps, DataOps, business partners, engineering teams, and data management.A minimum of ten (10) years of experience in IT with a minimum (6) years in data architecture and data solutions are required.Successful track-record in managing a team of Data Engineers and Data ScientistsSkilled in hybrid cloud data platforms and analytical technologies including Azure andor GCP data infrastructure, Spark, Data Lake, Data Warehouse and Data Marts, BI reporting with PowerBI, Metadata Management, Data Governance, Master Data Management, Data Catalog, and Business Glossary.Ability to document, communicate, implement, and operationalize complex architectures.Experience with ELT and ETL Data Pipeline solutions from inception to production.Proficient in SQL, NoSQL and columnar databases.Experience with SparkPyspark and JSON.Excellent grasp of Computer Science fundamentals - data structures and algorithms.Must have Panda Data Frames knowledge and best practices, execution engines, DAGs (airflow, dagster, luigi, etc), and Kubernetes.Proficient with GitLabFamiliarity with Azure data factory preferred, Google data flow or AWS GlueExperience with Biomedical Informatics, S3Azure blob store, Machine Learning and AI, Unstructured Data, and Data Democratization is preferred.Experience with Agile methodologies, Kanban preferred, and using tools like Jira and Confluence to facilitate the work.Bachelor s degree in computer science or a related discipline required. Master s degree preferred. RECRUITERS NOTES The role will definitely be hands-on and will require excellent communication skills. The hiring manager mentioned the following technologies AImachine learning data warehouses product support Cloud experienceAzure must be open to new technologies. Working with the Product Development Team. Act as the point of contact will create a group that helps the product teams. Create data warehouses for analytics. MUST have excellent communication skills verbal and written. This person will envision strategy and must be able to effectively communicate that strategy to others. The organization has asked me not to advertise the compensation. If you contact me I would be more than willing to share it with you. For over 50 years this non-profit organization has made it their mission to protect patients from unsafe and ineffective medical technologies and practices. More than 5,000 healthcare institutions and systems worldwide including four out of every five U.S. hospitals rely on the services of this organization to guide their operational and strategic decisions. In addition, they serve public and private payers, federal and state agencies, policymakers, ministries of health, associations, and accrediting agencies. Benefit from a healthy work-life balance while staying on the leading edge of technology and thriving in an innovative startup-like culture minus the risk. Sleep well knowing you are helping achieve a world where safe, high-quality healthcare is accessible to everyone. Excellent benefits to include work from home, flex-time and 19 days starting vacation. Its a nice place to work!

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