For the given job description <<Role: Lead Data EngineerLocation: RemoteDuration: Long Term 8 to 10 years of experience working in data engineering, business intelligence or related field delivering large scale data platforms and services. Ideal candidate will have the following skills: A successful history of manipulating, processing and extracting value from large, disconnected datasets. Expertise in data modeling, data access and data storage techniques. The candidate should have foundational knowledge of dimensional modeling to build a data warehouse Strong experience building transformational logic using SQL on relational SQL and NoSQL databases. Skills using DBT framework for data transformation is plus Robust programming skills and strong experience with Python to ingest, transform and load the data Experience building and optimizing big data data pipelines, architectures and data sets using tools like Airflow. Experience with AWS cloud services: EC2, EMR, RDS, Redshift>> 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, 

Fit assessment: No Fit