Co-authored an enterprise-wide logical data model and design for an insurance transaction processing and information management system, which resulted in the basis for physical design of numerous applications. Designed and implemented a personal computer based reinsurance profit and loss system. Coordinated the development and implementation of an international reinsurance system, both transaction processing and management information environments. Created and implemented the logical model for a reinsurance management Information system. Created process designs for two relational database information systems. Developed and delivered training presentations on logical data modeling, application process modeling and metadata management for business units (underwriting, claims, actuarial). Candidate Info 8 Business Intelligence / Data Engineer Effective member of a small high-energy team gathering and reporting network related statistics on arguably the biggest private network. Awarded 'rookie-of-the-year an award for the most enterprising new hire for 2010.
Big, data, hadoop Sample, resume
Responsible for maintaining quality reference data in Oracle by performing operations such as cleaning, transformation and ensuring Integrity in a thesis relational environment. Initiated a lot of fine tuning mechanisms to tune the bodyguard database as well as the queries to complete a set of given jobs or tasks in optimal time. Designed and prepared interactive and intuitive year end dashboards and reports using ibm cognos and Tableau to show the sales performed by the traders this year. Candidate Info 6, big Data Engineer Intern, collected raw files from ftp server and ingested files using proprietary etl framework. Built new etl packages using Microsoft ssis. New packages included detailed workflow of data imports from client ftp server. Troubleshoot etl failures and performed manual loads using sql stored procedures. Implemented new metrics on the medeAnalytics' software as a service (saas) Patient Access Analytics platform. Engineered client's platform by incorporating new dimensions onto the client's site using sql server Integration Services. Engineered new olap cubes that aggregated health provider's patient visit data. Candidate Info 7 Senior Data Engineer Designed divisional transaction processing client/server databases through joint Application development sessions with users and systems staff, database modeling and mapping activities.
Reviewed and analyzed existing architecture of EnTireNet and made recommendations for improving and enhancement by switching to newest lightweight technologies provided by java ee 6 (jax-rs, jpa, cdi json, and Jackson json processor. Provided architecture, design, and prove of concept (PoC) for EnTireNet project ear split utilizing java ee 6, json/Jersey transport. Presented poc for sso for Bridgestone portal project utilizing restful services. Designed and implemented integration module between Bridgestone EnTireNet application and Adobe cq5 using restful services. Utilized the following Big Data technologies for Bridgestone Inventory data warehouse: Hadoop (hdfs, mapReduce, hbase, pig, hive, oozie, hcatalog, Flume, sqoop, zookeaper). Architected and designed project infrastructure utilizing Sparx Systems Enterprise Architect. Configured and set up projects for Continues Integration utilizing svn, maven, Artifactory, jenkins, and Sonar. Candidate Info 5, data Engineer, developed a central reference data system for the downstream applications which enables them to access nosql graphs from an rdf big data framework, through simple Oracle relational tables.
Re-designed and developed a critical ingestion pipeline to process over 300 tb of data. Provided technical expertise and created software design proposals for upcoming components. Utilized MapReduce, hdfs, hive, pig, Spring Batch mongoDB. Candidate Info 3, lead Software Engineer/data Engineer, envisioned news article crawler/ingestion pipeline using nutch, feed reader and activemq. Designed and developed named entity recognition system using Alchemyapi, spotlight, uima and gate. Created rest api layer using jax-rs and Hibernate. Designed interest ontology using Protege and neon toolKit. Senior java architect / Big Data Engineer.
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Sample resumes for this position showcase skills like reviewing the administrator process and updating system configuration documentation, formulating and executing iglesias designing standards for data analytical systems, and migrating the data from mysql into hdfs using Sqoop. A data Engineer position typically requires a bachelor's degree in the fields of computer science or electrical engineering; however, employers often prefer candidates who can show master's degrees on their resumes when applying for senior roles. Looking for job listings? Data Engineer Jobs page. 1, drilling Data Engineer, managed 10 million/year in drilling equipment. Helped generate 6 million/year revenue by providing mechanical, software, and logging services on land rigs.
Mentored 10 field engineers/year to operate drilling equipment and data measurement tools to ensure safety and optimal efficiency. Analyzed operational drilling data and created models to identify lithology and reservoirs for 15 wells/year. Developed solutions to increase profitability and reduce cost through resolving technical deficiencies. Generated 15 final well reports/year for 5 clients to advise in key business decisions. Presented analysis on rig procedures and drilling tools to local board review resulting in promotion. Candidate Info 2, data Engineer, developed ingestion pipelines and data analysis systems for multiple fortune 500 clients.
Created etl processes for sql server and shell scripting procedures. Implemented migration processes of historical data sources to data warehouses. Participated in marketing launches of new software releases. Big, data, manager, allstate corporation, november 20Northbrook, il, participated in product releases with efficient service. Prepared marketing collaterals and quality information. Evaluated and reviewed latest industry trends and standards.
Created and updated solution messaging and collateral tools. Generated business proposals and product messaging services. Maintained and managed program portfolios and technical programs. Prepared and reported program status and development issues. Provided support for communication of messaging and status details to teams. Data Engineers help firms improve the efficiency of their information processing systems.
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White papers, slideshows, twitter feed, sponsored live streaming Video, flash Poll. Big, data, manager, bill computer Sciences about Corporation, january 2012 Present. Fort myers, fl, suggested strategies for improving performance of solutions. Programmed and executed scalable and quality application code. Formulated and implemented risk mitigation strategies. Designed and developed, big, data systems on vmware systems. Conducted interviews for hiring associates for.
Rg tip Professional Experience: quantify Where you can Since a data Analyst role involves dealing with numbers and quantitative data, it is absolutely critical for you to quantify your accomplishments and add numerical values where applicable. When quantifying your experiences, it usually goes hand in hand with your accomplishments, so be sure to include what youve achieved. Here are examples of how you can do that: Consolidated data, developed operations and procedures, improving workflow by 18 Analyzed 5,000 contacts in a spreadsheet, successfully drawing conclusions about consumer data Adding numbers to your resume allows employers to visualize the impact you had at your. Your quantitative accomplishments will illustrate your concrete impact on the company which proves your ability to reach objectives. The more they can understand what you can achieve, the more likely employers are to call you in for an interview. Action Verbs for a data Analyst Resume below is a list of common action verbs for a data analyst: Analyze consolidate Create determine develop Implement Install Interpret Investigate generate maintain Monitor Operate perform Report Research Support Track Utilize rg tip Find every action word. Final Words By incorporating action words, your technical skills, and your accomplishments in your resume, you set yourself up for the best chance of getting the data analyst job you desire. Subscribe to newsletters, video, current Issue, the next Generation of it support. The workforce is changing as businesses become global and technology erodes geographical and physical organizations are critical to enabling this transition and can utilize next-generation play tools and strategies to provide world-class support regardless of location, platform or device.
the candidate is capable of accomplishing but unlike the qualifications summary, it doesnt specify all the technical skills. Rg tip boost your Additional skills Section According to the. Bureau of Labor Statistics, data analysts are identified as statisticians, meaning people who utilize statistical and quantitative technique to interpret and analyze data. A background in statistics or mathematics would be pertinent to the data Analyst role as well as a natural propensity for analytical thinking. Knowledge of predictive modeling techniques such as decision trees and regression is recommended. Your familiarity with analytical tools such as sas are also necessary for this career path. The candidate above addresses these points by mentioning that they are an: Expert in ibm spss, advanced Microsoft Excel, pivot Tables, tableau, sas, sql additionally, data Analysts should have strong attention to detail and be very accurate with their work. Stress these qualities in your cover letters and interviews so that employers will see your strengths in quantitative and technical thinking.
Data, analyst, resume, sample (Text Format data, analyst with 8 years of experience in interpreting and analyzing data for driving business solutions. Proficient knowledge in statistics, mathematics, and analytics. Excellent understanding of business operations and analytics tools for effective analyses of data. Professional Experience Breadboard lab, llc, new York, ny senior Data Analyst, january 2013 Present Manage the planning and development of design and procedures for metrics reports develop new reports and delegated tasks to team members Perform market analysis to efficiently achieve objectives, increasing sales. Data Analyst Resume tips Write a qualifications Summary or Career Objective when it comes to data Analyst positions, we advise using a qualifications Summary or Career Objective at the start of your resume. These roles require a very technical background and specific skill set, so its essential to highlight your expertise and capabilities at the beginning of the resume. In short, qualifications Summary is useful if you already write possess relevant skills to the job and want to easily showcase your abilities and accomplishments all in one section. Since a data Analyst position involves certain technical skills, it can be beneficial to stress them at the top so that employers can acknowledge you have the expertise, with just a glance. A career Objective is valuable if youre applying to a particular position and able to tailor your objective specifically for that role.
Big data resume
Table of Contents, professional, data, analyst, resume. Related Resumes cover Letter, data, analyst, resume, sample (Text Format data, analyst, resume. Professional, data, analyst, resume, candidate is applying resume for a senior. Candidate has 8 years of experience. Candidate has experience with many data mapping, programming, and advanced Excel functions. Make a resume in minutes click here to download, this ms word, data, analyst, resume, click the following images to view the resume sample. See also, resume, example library.