ตัวอย่าง Resume นักพัฒนา .NET (DotNet Developer) ฉบับที่ 132
Resume Example DotNet Developer #0132 ประมาณ 1482 คำ
เรซูเม่ฉบับนี้เป็นตัวอย่างสำหรับตำแหน่ง The University of Texas At Arlington - Arlington, TX / Big Data Engineer / Accenture - Montgomery, AL ระดับอาวุโส มีประสบการณ์รวมประมาณ 5 ปี เรานำมาวิเคราะห์เพื่อให้เห็นว่า โครงสร้างมีจุดเด่นอย่างไร และส่วนใดนำไปปรับใช้กับข้อมูลของคุณได้
จุดเด่นของฉบับนี้ แสดงประสบการณ์ทำงาน 5 ตำแหน่ง พร้อมหน้าที่และผลงานของแต่ละช่วงอย่างเป็นลำดับ
สิ่งที่ควรสังเกตในตัวอย่างนี้
- ประวัติงานต่อเนื่อง 5 ปี เห็นการเติบโตของตำแหน่งได้ชัด
- มีการกล่าวถึง Tableau ซึ่งเป็นสิ่งที่ HR สายนักพัฒนา .NET ให้ความสำคัญ
- ประสบการณ์ 5 ตำแหน่ง ไล่ระดับจาก Junior ขึ้นไปจนถึงตำแหน่งปัจจุบัน
- Professional Summary กระชับ ใช้คำที่สื่อความสามารถได้จริง
- มีทักษะแยกเป็นหมวด 33+ รายการ ให้ HR เห็นสเปกครบถ้วน
Professional Summary
- Senior Data Engineer with 5+ years of experience possessing a proven track record of effectively gathering Business Requirements, Analysis, Design, Development, Testing, Implementations and Documentation of various functionalities of Big data, Data Warehouse, Data Marts, BI and Transactional applications. - Experience in using Hadoop ecosystem components like HDFS, Hive, Sqoop, Oozie, Spark with Hortonworks distribution. - Extensively worked on Hive, Spark using Python on cluster for computational and advanced analytics - Extensive Data Warehousing/ETL and Business Intelligence experience using Informatica 10.x, OBIEE 12c, Tableau. - Sound knowledge of database architecture for OLTP and OLAP applications, Data Analysis, ETL processes in developing data marts and Enterprise Data Warehouse. - Strong understanding of logical and physical database designs and dimensional modeling schemas like Star and Snowflake schema. Highly motivated self-starter with Good Communication, Presentation and Problem-Solving Skills and committed to learning modern technologies.
Experience
The University of Texas At Arlington - Arlington, TX / Big Data Engineer / Accenture - Montgomery, AL01/2020 - Current
- Created a massive data frame which integrates all the huge datasets like call detail records (~20B records per day), cell tower usage data (~75M records per day) and other eco-system data for the RAN Engineers team using Hive, Sqoop, Spark to analyze how the AT&T cellular network is performing across the nation and to forecast which towers to be upgraded across the nation. - Used PySpark, Spark SQL, Hive to analyze the peak usage of every AT&T cell tower in the nation and to create a profile of cell towers and cluster towers based on volume to identify the behavior of the tower.
- Created and Modified complex SQL-based queries to access, explore and pull data from multiple sources, responsible for acquisition and maintenance of data stored in a Hadoop.
- Developed a schema detection and correction application in python as part of the sqoop ingestion framework to handle all the schema changes while importing the data into HDFS.
- Developed a Profiler tool in PySpark, which is used to assess the data quality of a given table which can be customized to run by column by audit function.
- Enhanced and extended the base data sets within Hadoop infrastructure to create deep and rich tables ready for use by business units and data scientists using Hive, Spark.
- Worked extensively with Sqoop for importing and exporting the data from HDFS to Relational Database systems and vice-versa.
- Created Hive tables with Dynamic partitions and implemented Bucketing technique for performance optimization which supports faster querying of data and analytics.
- Gathered requirements from RAN and C&E business units to generate the new initiatives/KPIs which are added to the existing tables/dashboards.
- Implemented Pipeline based on the defined processes to automate from data ingest through to data set distribution using Python, shell scripting, Oozie for batch processing.
- Used Spark Streaming APIs to perform transformations and actions on the fly which gets the data from Kafka in Near real time and persist it to HDFS.
- Worked with the Spark for improving performance and optimization of the existing algorithms in Hadoop using Spark Core, Spark Context, Spark-SQL, Data Frame, Pair RDD and Spark YARN.
- Created several Tableau Visualizations to show case the initiatives/KPIs of the data using map views, graphs.
- Explained data results clearly and discussed how it can be utilized to support project objectives.
- Prepared documentation and analytic reports effectively and efficiently delivering summarized results, analysis, dashboard UI using Java, Bootstrap,html, css and conclusions to stakeholders.
- Mapped data between source systems and warehouses.
Data Analytics Engineer / Verizon - Summit Argo, IL11/2017 - 01/2020
- Involved in complete Big data flow of the application starting from Data Ingestion from data upstream to HDFS, processing and analyzing the data in HDFS.
- Developed MapReduce programs for pre-processing and cleansing the data in HDFS obtained from Heterogeneous data sources to make it suitable for ingestion into Hive schema for analysis.
- Created Hive tables with Dynamic partitions and implemented Bucketing technique with custom mappers for performance optimization which supports faster querying of data and analytics.
- Used Hive Serde (Serialization and Deserialization) classes for ingesting data from present in different formats like JSON, XML.
- Created custom UDFs programs to extract data from HBase for Statistical Analysis.
- Expert in creating and designing data ingest pipelines using technologies such as spring Integration, Apache Storm-kafka.
- Configured Spark streaming to receive real time data from the Kafka and store the stream data to HDFS using Scala.
- Used Zookeeper Quorum with HBase StorageHandler class to integrate the schema of Hive tables with HBase tables.
- Involved in importing and exporting terabytes of data into HDFS and Hive using Sqoop from other Traditional Relational Database Systems.
- Automated all the jobs for pulling data from FTP server to load data into Hive tables using Oozie workflows.
- Developed SOAP and RESTful service framework for data warehouse team to extract master reference data(Post information, operating hours, and mission information).
- Implemented Java Mail API for sending email notification for alert generate in a module to notify users by system.
- Written DAO classes using Spring and Hibernate to interact with database for persistence.
- Worked on NoSQL databases like HBase, Cassandra and integrated with Hadoop.
- Involved in Unit testing and delivered Unit test plans and results documents using Junit and MRUnit.
- Performed Fine Tuning and Enhance Performance MapReduce jobs and tuning Hadoop performance with high availability and involved in recovery of Hadoop clusters.
- Used Eclipse as an IDE for code development and Subversion (SVN) for source code management.
- Used Log4J to capture the log that includes runtime exceptions, monitored error logs and fixed the problems.
- Maintaining different cluster security settings and involving in creation and termination of multiple cluster environment.
- Worked in Agile/Scrum environment, used Jira to maintain the story points and Kanban model.
- Environment: HDFS, MapReduce, Hive, Pig, Oozie, Sqoop, Kafka, HBase, Flume, Spark, Storm, Zookeeper, Java, Scala, Soap, Restful, Java Mail API, Spring, Hibernate, Log4J, Junit, MRunit, Cassandra, JSON, XML, SQL Server, Eclipse, SVN, Maven, Jira, Windows and MS Office.
- Generated detailed studies on potential third-party data handling solutions, verifying compliance with internal needs and stakeholder requirements.
- Designed compliance frameworks for multi-site data warehousing efforts to verify conformity with state and federal data security guidelines.
- Developed, implemented, supported and maintained data analytics protocols, standards and documentation.
- Analyzed complex data and identified anomalies, trends and risks to provide useful insights to improve internal controls.
.Net Developer03/2016 - 11/2017
Blue Cross Blue Shield Of TN
- Implemented and configured Web Services using Window Communication Foundations (WCF).
- Designed and developed SOAP architecture with WCF binding concepts for making data binding for endpoints.
- Participating Agile Scrum daily scrum, Backlog refinement and sprint planning meetings.
- Used N-tier Architecture for presentation layer, Entity Layer, Service Layer, Business and Data Access Layers and were coded
using C#.
- Used custom error handling in Web API to pass proper error message rather than generic error message to better understand the error.
- Implementing MVVM framework for the development of the application.
- Implemented WPF to Create, attractive and effective user interface using XAML document.
- Used ASP.NET Web API for creating RESTful services
- Used Multithreading at various places for better performance in the application.
- Extensively experienced in Scrum Testing, Smoke Testing and Integration Testing of the application.
- Involved in designing multiple WebAPIs. Consumed different ASP.Net WebAPI's to retrieve customers' information and other application related information
- Writing Complex Queries, Stored Procedures in DB2 Database.
- Helped testing team in System Testing and Integration testing
- Worked as deployment engineer on team
- Experienced in Software Configuration Management, setting up company Version policies utilizing Team Foundation Server
Position
(TFS), GIT
- Developed Application layer using ASP.Net, Server controls, HTML Controls and Validation controls.
- Designed Graphical User Interface (GUI) for various web pages using, HTML5, CSS, CSS3, JavaScript and AJAX interactions. - Experience in developing RichUI with the use of ASP.NET, Bootstrap and jQuery.
- Environment: VisualStudio2015/2016, C#, MVC, WCF, Web API, Microsoft Enterprise Library, Clear Case, RTC, SQLServer2008/2016, Interactive SQL, Teradata, HTML, HTML5, CSS, CSS3, UCD, JavaScript, jQuery, Bootstrap, TFS, GIT,WPF,MVVM
Education
- Master of Science: Computer Science, 12/2015
Skills
Data ProcessingBig Data AnalyticsData ModelingClient Relationship ManagementQuality AssuranceResearchReporting & DocumentationStrategyService-oriented ArchitectureData PipelineYARNHiveMapReduceSparkHBaseOozieKafkaLanguages: PythonSQLPL/SQLUNIX Shell ScriptingJavaC#HTMLCSSBootStrapJavaScriptBI/ETL Tools: InformaticaMySQLTOADiTermEclipseVisual Studio
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ตัวอย่างนี้ช่วยให้เห็นแนวทางการเขียนเรซูเม่สำหรับตำแหน่ง The University of Texas At Arlington - Arlington, TX / Big Data Engineer / Accenture - Montgomery, AL ประสบการณ์ 5 ปี โดยเปิดด้วยบทสรุปที่บอกจุดเด่นของผู้สมัคร ตามด้วยประสบการณ์ทำงาน 5 ตำแหน่ง และข้อมูลการศึกษาที่จำเป็น พร้อมทักษะที่เกี่ยวข้องกับงาน คุณสามารถนำลำดับและวิธีนำเสนอไปปรับใช้ โดยเปลี่ยนรายละเอียดให้ตรงกับประสบการณ์จริงของคุณ
อย่างไรก็ตาม เรซูเม่ที่ชนะต้องเขียนให้ตรงตำแหน่งที่คุณสมัครโดยเฉพาะ ตัวอย่างนี้คือต้นแบบ ไม่ใช่สำเนา ทีมเรซูเม่ของเรารับเขียน Resume และ Cover Letter ภาษาอังกฤษให้โดดเด่นจากคู่แข่ง ส่งงานใน 2 วัน รับประกันความพึงพอใจ