Professional ProfileHighly efficientPersonnel Data Coordinatorwell established in administrative environments that are fast-paced and challenging. Strong organizational, technical, and analytical skills. SkillsOrder processingTime managementSpreadsheet managementMicrosoft Office proficiencyExcellent communication skillsMicrosoft Excel certifiedResourcefulAdvanced clerical knowledgeInvoice processingInsurance processingAdvanced clerical knowledgeMulti-line phone proficiencyCustomer service-oriented Professional ExperiencePersonel Data Coordinator,06 2012to07 2017The Learning Tree City,STATE,Maintained the front desk and reception area in a neat and organizedDrafted meeting agendas, supplied advance materials and executed follow-up for meetings and team conferences.Provided the planning process for the development of the individualized service plan.Managed the receptionist area, including greeting visitors and responding to telephone and in-person requests for information.Completed and submitted clinical documentation in accordance with agency guidelines.Designed electronic file systems and maintained electronic and paper files.Assisted customer service with inbound and outbound calls regarding all HR inquiries.Partnered with the IT department to create a streamlined on boardingprocess for new hires.Selected and interviewed candidates for all available positions.Worked closely with HR business partners to facilitate year-end talent reviews and articulate team strengths.Audited job postings for old, pending, on-hold and draft positions.Assessed employee performance and issued disciplinary notices.Tracked, verified, and updated reports on monthly weekly quarterly basis. Education and TrainingHigh School Diploma ,Expected in2005toMurphy High School-,ALGPA QualificationsAbility to scan large volumes of data in a short time frame.Excellet analytical thinking and troubleshooting skills.Excellent in verbal and written communication skillsPrepare and submit data required for auditsPerform collection, interpertation and recording of data in accordance with company s guidelines and standards.Analyze data for quality improvement purposes  SEP  As a Solution Architect - Data Engineering, you will work for an American multinational technology company focusing on various technological domains such as artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. The job requires expertise in Databricks, a cloud-based data engineering platform. Key responsibilities Provide technical leadership in a post-sales capacity to guide strategic customers as they design and implement big data projects, ranging from architectural design to data engineering to model deployment.Identify and drive new initiatives that enable customers to turn their data into actionable business value and align these initiatives with their business outcomes for continued success.Architect production-level workloads, including end-to-end pipeline load performance testing and optimization.Deliver tutorials and training to drive community adoption (including hackathons, conference presentations, etc.)Work closely with Engineering and Product Management to drive the direction of the Databricks product.Contribute to Databricks SME community. Required SkillsHands-on and technical expertise with Apache SparkProven experience of design and implementation experience in big data technologies including Hadoop, NoSQL, MPP, OLTP, OLAP5 years Experience working as either Software EngineerData Engineer query tuning, performance tuning, troubleshooting, and debugging Spark andor other big data solutions.Comfortable programming in Python, Scala, or JavaExperience using and designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCPExperience with Development Tools for CICD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools, and SQL Interfaces. E.g. Jenkins.Excellent communication skills and comfortable presenting to strategic stakeholdersleadership.Experience in customer-facing pre-sales, post-sales, technical architecture guidance, or consulting.Passionate about learning new technologies and making customers successfulData ScienceML Engineer experience in model selection, model lifecycle, hyper-parameter tuning, model serving, and deep learning, using tools like MLFlow desired. Life at CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer Flexible workHealthcare, including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily-building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized backup childelder care and tutoringMentoring, coaching, and learning programsEmployee Resource GroupsDisaster Relief

ATS compatibility score: 86.4 (Good Fit)