For the given job description <<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>> the resume: <<Professional SummaryCommitted and motivated Administrative Assistant with exceptional customer service and decision making skills. Strong work ethic, professional demeanor and great initiative.Energetic and reliable Office Manager skilled with working with a diverse group of people.Executive Assistant who is skilled at multi-tasking and maintaining a strong attention to detail. Employs professionalism and superior communication skills to meet client and company needs.
Areas of ExpertiseWord, Excel, Access, Word PerfectOperations managementCommunicationInterpersonalTime managementFlexibleWorks well under pressureEmployee training and development
Work Experience03/2014to08/2014Data Entry OperatorIron Mountain Incorporated|Fort Myers,FL,Performed general data entry using SAP, Microsoft Excel and WordPerformed a wide variety of secretarial tasks in support of the businessAnswered phones and create notifications in the systemContacted with internal and external customers.Collaborated with other administrative team members, human resources and the finance department on special projects and events.Developed and managed third-tier resolution process to resolve issues originating from the customer retention team.2010to2013SecretaryWalt Disney Co.|Auburn Hills,MI,Arranged appointments, sales calendars, trainings for the sales of department.Maintained the operation's sales database.Customized sales reports and sales literature.Verified and logged in deadlines for responding to daily inquiries.Improved communication efficiency as primary liaison between departments, clients and vendors.2008to2010Assistant ManagerSumitomo Electric Group|Mount Prospect,IL,Recruited, hired, scheduled, and motivated a staff of up to 8 people.Adapted in communicating effectively with customers, vendors, and staff.Reached the monthly goals.Managed the day-to-day tactical and long-term strategic activities within the business.Reduced and controlled expenses by improving resource allocation.
EducationExpected intotoAssociate|ArtsCommunity College of Philadelphia,Philadelphia,PAGPA:ArtsExpected in1 2013totoCertified with diploma|Notary Public,,GPA:
SkillsInterpersonal, data entry, database, English, Languages, Access, Microsoft Excel, Excel, Word, sales, SAP, secretarial, Spanish, phones, Word Perfect>>. The result is, Good Fit

Fit assessment: Good Fit