Professional SummaryCustomer Service Representative motivated to maintain customer satisfaction and contribute to company success.with a highly effective communication style. Skill HighlightsStrong organizational skillsActive listening skillsSharp problem solverCourteous demeanorEnergetic work attitude Work Experience08 2015toCurrentData EntryUl Marietta,GA,Verified that information in the computer system was up-to-date and accurate.Verified and logged in deadlines for responding to daily inquiries.Identified and resolved system and account issues.Provided accurate and appropriate information in response to customer inquiries.Built customer loyalty by placing follow-up calls for customers who reported product issues.10 2012to08 2015Customer ServiceHd Supply Baytown,TX,Created new processes and systems for increasing customer service satisfaction.Expressed appreciation and invited customers to return to the store.Managed quality communication, customer support and product representation for each client.Resolved product policy issues and shared benefits of new technology.Assisted customers with store and product complaints.07 2009to09 2011Front DeskSunrise Senior Living Saddle River,NJ,Scheduled and accompanied clients to medical appointments.Performed clerical duties, such as word processing, data entry, answering phones and filing.Maintained accurate records of patient care.Verified that information in the computer system was up-to-date and accurate. SkillsTyping, Microsoft Word, Power Point and Excel Education and TrainingExpected in2008toto FLORIDA CAREER COLLEGE-Lauderdale Lakes,FLGPA Expected in1 2007toto Seagull High-,GPA  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!

ATS compatibility: No Fit (score: 23.4)