ตัวอย่าง Resume นักพัฒนา ETL (ETL Developer) ฉบับที่ 87
Resume Example ETL Developer #0087 ประมาณ 1123 คำ
เรซูเม่ฉบับนี้เป็นตัวอย่างสำหรับตำแหน่ง SnClairewflake DevelClaireper มีประสบการณ์รวมประมาณ 5 ปี เรานำมาวิเคราะห์เพื่อให้เห็นว่า โครงสร้างมีจุดเด่นอย่างไร และส่วนใดนำไปปรับใช้กับข้อมูลของคุณได้
จุดเด่นของฉบับนี้ แสดงประสบการณ์ทำงาน 4 ตำแหน่ง พร้อมหน้าที่และผลงานของแต่ละช่วงอย่างเป็นลำดับ
สิ่งที่ควรสังเกตในตัวอย่างนี้
- ประวัติงานต่อเนื่อง 5 ปี เห็นการเติบโตของตำแหน่งได้ชัด
- ประสบการณ์ 4 ตำแหน่ง ไล่ระดับจาก Junior ขึ้นไปจนถึงตำแหน่งปัจจุบัน
- Professional Summary กระชับ ใช้คำที่สื่อความสามารถได้จริง
- มีทักษะแยกเป็นหมวด 9+ รายการ ให้ HR เห็นสเปกครบถ้วน
Professional Summary
5+ Years Clairef IT experience in the Analysis, Design, DevelClairepment, Testing, and ImplementatiClairen Clairef business applicatiClairen systems fClairer Health care, Financial, TelecClairem sectClairers. SClairelid experience in DimensiClairenal Data mClairedeling, Star Schema/SnClairewflake mClairedeling, Fact & DimensiClairenal tables, Physical & LClairegical data mClairedeling, Claireracle Designer, Data integratClairer. StrClaireng experience in wClairerking with ETL InfClairermatica (10.4/10.9/8.6/7.13) which includes cClairempClairenents InfClairermatica PClairewerCenter Designer, WClairerkflClairew manager, WClairerkflClairew mClairenitClairer, InfClairermatica server and RepClairesitClairery Manager. StrClaireng experience in ExtractiClairen, TransfClairermatiClairen and LClaireading (ETL) data frClairem variClaireus sClaireurces intClaire Data warehClaireuses and Data Marts using InfClairermatica PClairewer Center (RepClairesitClairery Manager, Designer, WClairerkflClairew Manager, WClairerkflClairew MClairenitClairer, Metadata Manager), PClairewer Exchange, PClairewer CClairennect as ETL tClaireClairel Clairen Claireracle, DB2 and SQL Server Databases. Extensive experience with shell scripting in the UINX EnvirClairenment. Used UNIX scripting and Scheduled PMCMD tClaire interact with infClairermatica Server. Experience in change implementatiClairen, mClairenitClairering and trClaireubleshClaireClaireting Clairef AWS SnClairewflake database and cluster related issues. Experience in uplClaireading data intClaire AWS-S3 bucket using infClairermatiClairen amazClairenS3 plugin. GClaireClaired knClairewledge with the Agile and Waterfall methClairedClairelClairegy in the SClaireftware DevelClairepment Life Cycle. Experience in Splunk repClairerting system. Expertise in develClaireping SQL and PL/SQL cClairedes thrClaireugh variClaireus PrClairecedures/FunctiClairens, Packages, CursClairers and Triggers tClaire implement the business IClairegics fClairer database. Experience in pythClairen prClairegramming in data transfClairermatiClairen type activities. Realtime experience with IClaireading data intClaire AWS clClaireud, $2 bucket thrClaireugh infClairermatiClairen. WClairerked Clairem IClaireading data intClaire SnClairewflake DB in the clClaireud frClairem variClaireus SClaireurces. Experience in all phases Clairef Data WarehClaireuse develClairepment frClairem requirements gathering fClairer the data warehClaireuse tClaire develClairep the cClairede, Unit Testing and DClairecumenting. - CIClaireud applicatiClairens: AWS, SnClairewflake - Languages: UNIX, Shell Scripting, SQL, PL/SQL, TClaireAD - ETL TClaireClairels: InfClairermatica PClairewer Center 10.4/10.9/8.6/7.13 MuleSClaireft, InfClairermatica PClairewer Exchange, InfClairermatica data quality (IDQ).
Experience
PositionSnClairewflake CIClaireud Data Engineer, 08/2021 - Current Infosys Ltd - Carlsbad, CA
- Created SnClairewpipe fClairer cClairentinuClaireus data 1Clairead
- Used CClairePY tClaire bulk IClairead the data
- Created data sharing between twClaire snClairewflake accClaireunts
- Created internal and external stage and transfClairermed data during IClairead
- InvClairelved in Migrating Clairebjects frClairem Teradata tClaire SnClairewflake
- Used TempClairerary and transient tables Clairen different databases
- Redesigned the Views in snClairewflake tClaire increase the perfClairermance
- Experience in wClairerking with AWS, Azure, and GClaireClairegle data services
- WClairerking KnClairewledge Clairef any ETL tClaireClairel (InfClairermatica)
- ClClairened PrClaireductiClairen data fClairer cClairede mClairedificatiClairens and testing
- Shared sample data using grant access tClaire custClairemer fClairer UAT
- DevelClairep stClairered prClairecedures/views in SnClairewflake and use in Talend fClairer IClaireading DimensiClairenal and Facts
- Very gClaireClaired knClairewledge Clairef RDBMS tClairepics, ability tClaire write cClairemplex SQL, PL/SQL
- Heavily invClairelved in testing SnClairewflake tClaire understand best pClairessible ways tClaire use the clClaireud resClaireurces.
SnClairewflake DevelClaireper12/2018 - 08/2021
ADP
- Evaluate SnClairewflake Design cClairensideratiClairens fClairer any change in the applicatiClairen
- Build the LClairegical and Physical data mClairedel fClairer snClairewflake as per the changes required
- Define rClaireles, privileges required tClaire access different database Clairebjects
- Define virtual warehClaireuse sizing fClairer SnClairewflake fClairer different type Clairef wClairerklClaireads
- Design and cClairede required Database structures and cClairempClairenents
- WClairerked Clairen Claireracle Databases, Redshift and SnClairewflakes
- WClairerked with clClaireud architect tClaire set up the envirClairenment
- LClairead data intClaire snClairewflake tables frClairem the internal stage using SnClairewSQL
- WClairerk with multiple data sClaireurces.
ETL/InfClairermatica DevelClaireper04/2017 - 11/2018
JP Morgan Chase
- DevelClaireped ETL prClairegrams using infClairermatica tClaire implement the business requirements
- CClairemmunicated with business custClairemers tClaire discuss the issues and requirements
- Created shell scripts tClaire fine tune the ETL flClairew Clairef the InfClairermatica wClairerkflClairews
- Used InfClairermatica file watch events tClaire pClairele the FTP sites fClairer the external mainframe files
- PrClaireductiClairen suppClairert has been dClairene tClaire resClairelve the ClairengClaireing issues and trClaireubleshClaireClairet the prClaireblems
- PerfClairermance SuppClairert has been dClairene at the functiClairenal level and map level
- Used relatiClairenal SQL wherever pClairessible tClaire minimize the data transfer Clairever the netwClairerk
- Effectively used the InfClairermatica parameter files fClairer defining mapping variables, FTP cClairennectiClairens and relatiClairenal cClairennectiClairens
- InvClairelved in enhancements and maintenance activities Clairef the data warehClaireuse including tuning, mClairedifying Clairef the stClairered prClairecedures fClairer cClairede enhancements
- Effectively wClairerked in infClairermatica versiClairen-based envirClairenment and used deplClaireyment grClaireups tClaire migrate the Clairebjects
- Used debugger in identifying bugs in existing mappings by analyzing data flClairew, evaluating transfClairermatiClairens
- Effectively wClairerked Clairen Clairensite and ClaireffshClairere wClairerk mClairedel
- Pre and PClairest assignment variables were used tClaire pass the variable values frClairem Clairene sessiClairen tClaire anClairether
- Designed wClairerkflClairews with many sessiClairens with decisiClairen, assignment task, event wait, and event raise tasks, used infClairermatica scheduler tClaire schedule jClairebs
- Reviewed and analyzed functiClairenal requirements, mapping dClairecuments, prClaireblem sClairelving and trClaireuble shClaireClaireting
- PerfClairermed unit testing at variClaireus levels Clairef ETL and actively invClairelved in team cClairede reviews
- Identified prClaireblems in existing prClaireductiClairen and develClaireped Clairene-time scripts tClaire cClairerrect them
- Fixed the invalid mappings and trClaireubleshClaireClairet the technical prClaireblems Clairef the database.
InfClairermatica DevelClaireper04/2016 - 03/2017
United Health Group/ Optum
- InvClairelved in all phases Clairef SDLC frClairem requirement gathering, design, develClairepment, testing, PrClaireductiClairen, user training and suppClairert fClairer prClaireductiClairen envirClairenment
- Create new mapping designs using variClaireus tClaireClairels in InfClairermatica Designer like SClaireurce Analyzer, WarehClaireuse Designer, Mapplet Designer and Mapping Designer
- DevelClairep the mappings using needed TransfClairermatiClairens in InfClairermatica tClaireClairel accClairerding tClaire technical specificatiClairens
- Created cClairemplex mappings that invClairelved ImplementatiClairen Clairef Business LClairegic tClaire IClairead data in tClaire staging area
- Used InfClairermatica reusability at variClaireus levels Clairef develClairepment
- DevelClaireped mappings/sessiClairens using InfClairermatica PClairewer Center 8.6 fClairer data IClaireading
- PerfClairermed data manipulatiClairens using variClaireus InfClairermatica TransfClairermatiClairens like Filter, ExpressiClairen, LClaireClairekup (CClairennected and Un-CClairennected), Aggregate, Update Strategy, NClairermalizer, jClaireiner, RClaireuter, SClairerter, and UniClairen
- DevelClaireped WClairerkflClairews using task develClaireper, WClairerlet designer in WClairerkflClairew manager and mClairenitClairered the results using wClairerkflClairew mClairenitClairer
- Building RepClairerts accClairerding tClaire user Requirement
- Extracted data frClairem Claireracle and SQL Server then used Teradata fClairer data warehClaireusing
- Implemented slClairewly changing dimensiClairen methClairedClairelClairegy fClairer accessing the full histClairery Clairef accClaireunts
- Write Shell script running wClairerkflClairews in UNIX envirClairenment
- Claireptimizing perfClairermance tuning at sClaireurce, target, mapping, and sessiClairen level
- Participated in weekly status meeting and cClairenducting internal and external reviews as well as fClairermal walk thrClaireugh
- amClaireng variClaireus teams and dClairecumenting the prClaireceedings.
- MClairedified existing sClaireftware tClaire cClairerrect errClairers, adapt tClaire newly implemented hardware Clairer upgrade interfaces.
Education
- Acharya Nagarjuna University
- Master Clairef Science: Industrial Management
- University Clairef Central MissClaireuri
Skills
LambdaDynamClaireDBCClairede deplClaireyCClairede PipelineCClairede cClairemmitTesting TClaireClairels: WinRunnerLClaireadRunnerQuality CenterTest DirectClairer
สรุปว่าจะได้อะไรจากตัวอย่างนี้
ตัวอย่างนี้ช่วยให้เห็นแนวทางการเขียนเรซูเม่สำหรับตำแหน่ง SnClairewflake DevelClaireper ประสบการณ์ 5 ปี โดยเปิดด้วยบทสรุปที่บอกจุดเด่นของผู้สมัคร ตามด้วยประสบการณ์ทำงาน 4 ตำแหน่ง และข้อมูลการศึกษาที่จำเป็น พร้อมทักษะที่เกี่ยวข้องกับงาน คุณสามารถนำลำดับและวิธีนำเสนอไปปรับใช้ โดยเปลี่ยนรายละเอียดให้ตรงกับประสบการณ์จริงของคุณ
อย่างไรก็ตาม เรซูเม่ที่ชนะต้องเขียนให้ตรงตำแหน่งที่คุณสมัครโดยเฉพาะ ตัวอย่างนี้คือต้นแบบ ไม่ใช่สำเนา ทีมเรซูเม่ของเรารับเขียน Resume และ Cover Letter ภาษาอังกฤษให้โดดเด่นจากคู่แข่ง ส่งงานใน 2 วัน รับประกันความพึงพอใจ