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: <<SummaryDetail oriented and team focused epidemiologist with 8 years of experience working as an epidemiologist and statistician for public health agencies.
SkillsStatistical Analysis and Coding: SAS, R, SQL, EpiInfoData Visualization: Tableau, Arc GISMicrosoft Suite: Excel, Access, Word
ExperienceEpidemiologist/Data Analyst,07/2021-CurrentCalifornia Department Of Public Health–City,STATE,Current epidemiologist on the Epidemiology and Surveillance Team within the COVID-19 California Department of Public Health (CDPH) response responsible for maintaining and providing case-based surveillance and epidemiologic data for COVID-19 cases in the state of California.Generated daily and weekly reports identifying COVID-19 trends including case rates, death rates, test positivity and health equity measures.Monitored data quality of death, duplicate, and reinfection data and worked with individual counties and other partners.Led efforts to create a process for deduplicating COVID-19 reinfection data by working closely with the data team and responding to feedback from individual counties.Assigned to the MPOX emergency response for 8 weeks and produced daily reports and visualizations using SAS and R. Led efforts to improve on LGBTQIA+ representation in data.Created a staff roster using SAS from several different teams on the emergency COVID-19 response. Combined multiple datasets and created a new dataset with unique variable key.Assisted with coding of COVID-19 racial equity analyses in SAS.Research Statistician IV,12/2017-07/2021Hawaii Department Of Health–City,STATE,Developmental Disabilities Division's research statistician responsible for submitting annual reports to national agencies, consulting on data needs, assisting in division's new IT project, and providing data quality control.Analyzed variety of data sources including fiscal data, Medicaid claims, and demographic data.Coordinated efforts to transition entire division to new database system. Trained staff on data analysis concepts and methods, and use of Microsoft Excel and new system.Recommended data quality improvement policies and standards.Assisted with legislative reports and generated frequent data reports to Division Director.Lead of PPE Distribution efforts to providers across the state of Hawaii during COVID-19 pandemic when the division was assigned responsibility for allocating donated PPE. Allocated millions of units of PPE across hundreds of providers by analyzing needs versus requests. Coordinated hundreds of allocations with donors, distribution centers, and organizations.Research Statistician III,07/2017-12/2017Hawaii State Hospital–City,STATE,Research statistician for the Department's Maternal and Child Health BranchCollected and analyzed data from reproductive health care providers around the state and produced weekly reports using Microsoft Access & Excel.Assisted supervisor in providing data for annual grants.Submitted a poster that was accepted for a national maternal and child health conference.Epidemiology Fellow,07/2015-07/2017CSTE/Hawaii Department Of Health–City,STATE,Two year epidemiology fellowship through the Council of State and Territorial Epidemiologists, funded through CDC and assigned to Hawaii Department of Health.Provided epidemiological support for maternal and child health capacity in Hawaii.Developed multiple research projects for adolescent health, injury prevention, teen births, and infant mortality.Proficient analysis of multiple data sources: Behavioral Risk Factor Surveillance System, Youth Risk Behavior Survey, Pregnancy Risk Assessment Monitoring System, Vital Statistics, Medicaid claims data using SAS.Produced reports for grant applications and legislative briefings.Developed surveys for different audiences and evaluated surveillance systems.Participated in Hawaii Dengue outbreak investigation in 2015.Presented oral sessions and posters at national and statewide conferences, trainings, and workshops.Mentored graduate student interns working on oral health.Evaluated programs and projects and received opportunity to attend national program evaluation training.
Education and TrainingMasters of Public Health:Epidemiology,Expected in05/2015-University of Georgia-Athens, GA,GPA:Status-UGA Dual Degree Program: obtaining masters and bachelors degrees within 4 yearsCoursework: clinical epidemiology, modeling infectious disease (PhD course), biostatistics, environmental health, health policy, clinical trials, and health promotion and behavior3.9 GPABachelor of Arts:International Affairs,Expected in05/2015-Univeristy of Georgia-Athens, GA,GPA:Status-Honors International Scholar 2014Zell B. Miller Scholarship Recipient 2011-20153.9 GPA>>. The result is, Good Fit

Fit assessment: Good Fit