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: <<SummaryHighly motivated Sales Associate with extensive customer service and sales experience. Outgoing sales professional with track record of driving increased sales, improving buying experience and elevating company profile with target market.
SkillsMachine Learning/Data Mining & NLP - Linear Regression, neural networks/deep learning, Naive Bayes, SVM, Logistic Regression,decision trees, K-mean, KNN, N- Grams, edit distance, gradient descentStatistical Programming & Packages - R, Python, NumPy, Matplotlib, scikit-learn, pandas, ggplot2, Shiny, dplyr, caret, e1071,kerasBusiness Intelligence & Visualization - Tableau, Qlik View, Qlik Sense, Excel, OBIEEHadoop Ecosystem Components - Spark, Hive, Sqoop, Flume, Kafka, ImpalaDatabases - Oracle, MySql, PostgreSqlOracle ERP & Fusion Middleware - Oracle E-Business Suite 11i & R12, Oracle SOA, Oracle Service BusOther Languages & Tools - SQL, PL/SQL, core java, Scala, RStudio, Jupyter, SqlDeveloper, Toad, AtomCertifications - Tableau, SQL & PL/SQL
ExperienceData Science & Data Engineer Intern,01/2017-PresentEnvestnet–Secaucus,NJ,Working on Big Data Ingestion using Sqoop for transferring data from multiple MySql database servers to transient storage in
amazon EMR Hcatalog and using Hive to transfer data to persistent storage in amazon S3 bucket
-> Developing Sqoop and Hive scripts for data ingestion
-> Using R and spark in amazon EMR for filtering, exploring, analyzing, providing insights on data and developing reports.Oracle Technical Consultant & Data Analyst,02/2013-07/2016First American Corporation–City,,IndiaCreated SQL scripts for daily extracts, ad-hoc requests , reporting and for analyzing large data sets
-> Designed ER diagrams, conceptual models, logical and physical models, created database objects - Tables, Indexes, Sequences
and Views
-> Developed Oracle Business Intelligence reports, created and modified Oracle database objects - Tables, Views and Indexes which
increased the performance of Oracle Business Intelligence reports by 60% in production environment
-> Prepared SQL.Loader scripts for loading data from other systems into oracle ERP system, worked with on-site business team in
performing data fixes
-> Created PL/SQL interfaces for doing business validation, transferring data between ERP modules and loading data to base tables.Data Analyst Intern,11/2012-01/2013CMC Limited–City,,Indiagt; Developed SQL scripts, worked on oracle 11i database and oracle reports.
Education and TrainingMaster of Science:Information Systems,Expected inAugust 2017-University of Utah, David Eccles School of Business-Salt Lake City,UtahGPA:Status-Information Systems Data Science and Analytics specialization 
-> Recipient of $15,000 Graduate Fellowship from David Eccles School of Business
Academic Capstone Project - Big Data
-> Building statistical regression and classification models, cleaning, exploring data and developing interactive web interface using R
Shiny, which helps the company to classify clients loan type and predicting the amount of loan they will take in future
Kaggle - House Prices Predictions
-> Applied different machine learning simple and advanced models on housing predictors for predicting the sales prices of houses,
used imputation methods for filling missing and null values in the data set
Independent Study & Research - Apache Spark using Scala and Python
Rajeev Gandhi Memorial College of Engineering and Technology          IndiaBachelor of Science:Computer Science and Engineering,Expected inMay 2012--,GPA:Status-Computer Science and Engineering Designed `Hand Draw Shape Recognition' interface which helps the user to invoke desired application just by drawing the shape,
linked to the application
SkillsAcademic, ad, Apache, Big Data, Business Intelligence, Draw, clients, Data Mining, Databases, database, E-Business, edit, ERP, filling, drawing, java, Machine Learning, Excel, Middleware, MySql, NLP, networks, neural, Oracle, Oracle database, PL/SQL, PostgreSql, Programming, Python, reporting, Research, sales, servers, scripts, SQL, SQL*Loader, Tableau, Tables, Toad, type, validation, View>>. The result is, Good Fit

Fit assessment: Good Fit