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ตัวอย่าง Resume นักพัฒนา ETL (ETL Developer) ฉบับที่ 101

Resume Example ETL Developer #0101 ประมาณ 3316 คำ

เรซูเม่ฉบับนี้เป็นตัวอย่างสำหรับตำแหน่ง CAREER OVERVIEW ระดับอาวุโส มีประสบการณ์รวมประมาณ 10 ปี เรานำมาวิเคราะห์เพื่อให้เห็นว่า โครงสร้างมีจุดเด่นอย่างไร และส่วนใดนำไปปรับใช้กับข้อมูลของคุณได้

จุดเด่นของฉบับนี้ แสดงประสบการณ์ทำงาน 12 ตำแหน่ง พร้อมหน้าที่และผลงานของแต่ละช่วงอย่างเป็นลำดับ

สิ่งที่ควรสังเกตในตัวอย่างนี้

เนื้อหาในเรซูเม่ฉบับนี้

JESSICA CLAIRE
CAREER OVERVIEW
[email] (555) 432-1000 Montgomery Street, San Francisco, CA 94105

Professional Summary

Expertise in Enterprise Data Warehousing with 9 years of IT experience. Proficient in Data warehouse Architecture, Data Integration and Data Quality. Detail-oriented professional with extensive experience on ETL and Reporting. Managing a team of 8 spread across geographies with Global Delivery model. Client facing skills and reports to Director Information Management.

Highlights

  • Project Management - Managed complex BI/DW deployment programs, facilitating acquisition of business requirements. Approachable and reliable for Technical and Functional directions. Recognitions - Awarded Most Valuable Player and Best Motivated Team. Technical Training Actively mentored, trained new team members to make them adhere to Organizational standards and Best practices. Client Interface - Improved client relationships and project predictability through shared business and technical perspectives, agreed project roles, risk assessment, use cases, transparent business-aligned development efforts, and time-boxed delivery. Team Collaboration Brainstormed development team evolution strategy and deployed best practices, such as Peer Code reviews, Constructive feedbacks and regular one-to-one meetings with the team. Defined project skill sets in line with methodology and drove Data warehouse sessions to appraise the team.

Experience

Nokia - Technical Project ManagerWexford, PA. 08/2013 - 03/2014
  • With GAP Inc. expanding its footprint globally and opening Franchise and Brick and Mortar stores across the Globe focusing on Asia, the data warehouse should be enabled to accept data from the newly opened stores and Franchises. The Item number is identified differently across the various RMS systems throughout the PDLC. This is a bottle neck to the global reporting team where the same item spans across multiple genres under different numbers. To streamline the Item number, the proposed solution is to clean up the Multi-parent items and assign the correct hierarchy at all levels. Re- assignment has been achieved at Style /Style Color / SKU level. Item Master which is the Global source for generating Item numbers is considered the System of record. Data correction in Dimensions, Cross reference and Lookup tables was done and then the corrected keys have been re- stamped in facts. It involves various LOB's like Planning, Inventory, Price, Sales and Order. Responsibilities:
  • Worked with product Owner to break the Epics into User stories.
  • Involved in identifying the Sprint backlogs from the Product backlog.
  • Managing and Leading team of 8 spread across geographies with Global Delivery Model. Committing to Sprint deliverables and ensure timely completion from the team. Burn Down charts shared with team to show case the day to day progress.
  • Guiding offshore and onshore team on the best development standards and processes. Tracking team's progress on a day to day basis and addressing any road blocks.
Providing direct
  • directions on Technical dependencies across teams and identifying solutions. Creating a Detailed Design document with Pseudo code help development team gain better understanding.
Working
  • with Enterprise Architect to identify the impact of changes across Source systems and any Downstream reporting impacts.
  • Handling huge volumes of data and ensuring performance is never compromised.
  • With a Sprint duration of 3 weeks, worked closely with the team to resolve Technical questions. Captured the Best practices followed throughout the project and sharing it with other teams. Gathering team's inputs with a thorough retrospection and documenting Lessons learnt. Focusing team's achievement with Leadership and Senior Management to keep up the momentum. Addressing team issues with knowledge sharing and providing training to the team as required. Captured the Design changes in a HLD and brought Business in sync on the impacts they would see the changes. after
  • Working with Data Analyst Group to identify and resolve any anomalies in Production data. Working on Technical and Functional spikes to analyze aggregate functional behavior and the determine feasibility.
  • Working with Change management team to get Business users comfortable with the changes that appears on reports.
  • Committing to sprint deliverables and ensuring team follows and understands the Agile methods. Leading an 8 member culturally diverse team spread geographically.
  • Delegating work and tracking the progress of the team.
  • Resolving any technical and functional impediments across team's way by involving the right people.
  • Breaking down the extra-large tables based on partitions and estimating the run times.
  • Involve Production support and DBA to negotiate the Deployment window.
  • Audit and Balance control has been implemented to keep track of counts of records being updated. Any anomalies will be highlighted immediately with an alert to stake holders. Assisting the QA team in completing test cycles.
Deloitte - Project Delivery LeadCharlotte, TX. 03/2013 - 07/2013
  • Upgrading to a New Teradata Server for the SOX Compliance Data processing 2650 (Teradata Data Warehouse Appliance), profoundly for processing High volumes of Data is configured and the existing Production processes have been migrated to this Data Processing Engine. With this, the existing 6680 (Teradata Active Enterprise Data Warehouse Appliance) server transformed to a Reporting Engine and acts a Single Source for all the User reports and Business queries. With heavy lifting being done at 2650, the reporting server will better be utilized for addressing Business questions. The Data after being cleansed, transformed will be copied using a Custom built TPT process on to 6680. This enables real time data availability across servers. As this is a Financial Data Mart, SOX Compliance is in place and data is being masked to ensure its availability to identified Users. Responsibilities
  • Identifying the processes to be migrated to the new server.
  • Designing the data copy process and defining the transfer methods.
  • Understanding the dependencies on availability of data across servers and transferring the data at regular intervals.
  • Bringing the team together when the team is impeding with low confidence levels.
  • Gain the confidence of the team and making sure there is value add delivered always.
  • Maintain high spirits with in the team with cross functional trainings and knowledge sharing. Publishing artifacts on the team's achievements across the board.
  • Scheduling one on one meeting with the team to understand the hurdles and get them to closure. Working with DBA to identify long running copy jobs and resolve any performance issues. Creating the deployment plan to run all the pre-migration scripts. Conscientiously tracking the production migration status and getting to closure. Acting as a Liaison to business and get reports validated pointing to the new server. Classification of tables as D/I and Delta loads based on the volumes processed. Metadata driven loading by creating a Configuration table to handle to load process. Any changes to load process can be easily handled by altering at one place.
  • Masking of critical sales data has been in place and views with masked data have been created to users users.
  • Involved Teradata Experts in fine tuning the new server settings and completing a Health checkup for the new server before hosting the Heavy processes.
  • Audit issues and Data issues have been solved by identifying the variances and sending a report to stake holders.
  • Successfully delivered the project in a Fixed pricing model and rendered warranty support. Acknowledged by the Client for working in a high pressure environment and aligning things at a short notice.
  • Received Appreciations from Senior Leadership for delivering a seamless migration.
Cognizant Technology Solutions Informatica LeadCorinth, MS. 06/2012 - 02/2013
  • ePI is Enterprise Person Identifier (ePI) project is linked to the 2012 BCBSM strategic plan through the consumer strategy. The Enterprise Person Identifier is a core foundational element for enabling BCBSM to better know and engage with consumers across their lifetime. It built the infrastructure and populated the solution with core membership systems. ePI takes in data from disparate source systems and links records that refer to the same person. The linking is done by assigning a Unique Person Identifier (UPI) to records that are considered to be referencing the same person. ePI uses the power of IBM's Initiate software to compare membership records and generate two person outputs that are housed in the EDW. order to create and promote new products to sustain and enhance market share, it is critical to link, analyze, and leverage individual consumer behavior and health care history. ePI will allows the foundation to enhance consumer strategy and customer satisfaction. Responsibilities:
  • Involved in gathering and analyzing the Business requirements from End users.
  • Documenting the LLD (Low level Design) and HLD (High Level Design) and reviewing with external teams and Business Users.
  • Understanding the end user requirements on the Usage of data and leverage the reports.
  • Working with Data modeler to get the required set of columns from the source system. Defining UDF tables to store User Defined Data and load it to EDW.
  • Data stewardship to profile the source data and identify any Data issues.
  • Dynamic View creation for the end users and leveraged it to make it user friendly.
  • Applying EDIT process on the incoming data to allow Cleansed data to be loaded to EDW.
Exper Experience with both Inbound and Outbound Data Feeds.
  • Requirement gathering from the Reporting team on structuring the reports. Extracting the Output data into flat files and SFTP them to external vendors.
  • Performance tuning of jobs by partitioning the large tables and accessing only relevant data as necessary.
  • Applying SCD Type-2 and maintaining Change Data Capture by having Historical data in the tables. Assisting the QA team in completing test cycles.
ETL LeadCumming, GA 01/2012-05/2012
Cognizant Technology Solutions
  • ABIS is an Enterprise Data warehouse built for reporting purposes to leverage the data availability to Business to measure the trends and buying patterns of customers. There are wide ranges of Metrics and Semantics defined to diversely provide the required data using Cognos reporting solutions. The claim, patient and prescription information is loaded from source systems using Ab-Initio to Teradata systems. As the reports are pulled with few years of data, Teradata handles it efficiently with quicker response times. The reports are provided with various filters to enable users filter the data as per their necessity.
  • Involved in gathering and analyzing the Reporting requirements from Business users. Documenting the Functional Specifications, LLD (Low level Design) and HLD (High Level Design) and reviewing with external teams and Business Users.
  • Collecting the Data Demographics to select on Index candidates.
  • Requirement gathering from the Reporting team on the value access and range based access data elements to define the Primary Index and Secondary Indexes.
  • Identifying the VONUSI (Value Ordered NUSI) to accommodate high volume periodic batch queries. Defining the Partitioned Primary Indexes along with Primary indexes to improve the performance for Rang Range based queries
  • Avoiding FTS (Full Table Scans) by declaring NUSI appropriately and running the EXPLAIN plans to
  • see if the secondary indexes are being used.
  • Dropping any unused Secondary indexes for better performance and space utilization. See if the secondary
  • Developed stored procedures to load and transform data and working on various databases
Teradata and Oracle.
  • Extracting high volumes of data using FastExport from Teradata Data warehouse and secure copying the files to external vendors.
  • Assisting the QA team in completing test cycles.
ETL Lead and DesignerDayton, NJ 07/2010- 05/2011
Cognizant Technology Solutions
  • E-Receipt is an electronic way of sending the sales receipt to customer's personal email address. This is a new service rendered for more customer satisfaction and an effective way for the customer to keep track of Purchase history and for any future returns. E-Receipt transactional data from the source is extracted and sent as flat files. This will be loaded to Teradata warehouse database to identify the new customers and their marketing preference. Daily and Weekly reports are created from warehouse database using Microstrategy and distributed the reports to the users using Report Center. Responsibilities:
  • Involved in gathering and analyzing the Business requirements from End users. Documenting the Functional Specifications, LLD (Low level Design) and HLD (High Level Design)
  • and reviewing with external teams and Business Users.
  • Collecting the Data Demographics to select on Index candidates.
  • Requirement gathering from the Reporting team on the value access and range based access data
  • elements to define the Primary Index and Secondary Indexes.
  • Defining the Partitioned Primary Indexes along with Primary indexes to improve the performance Delning for Range based queries.
  • Avoiding FTS (Full Table Scans) by declaring NUSI appropriately and running the EXPLAIN plans to see if the secondary indexes are being used.
  • Dropping any unused Secondary indexes for better performance and space utilization.
  • Developed stored procedures to load and transform data and working on various databases Teradata and Oracle.
  • Extracting high volumes of data using FastExport from Teradata Data warehouse and secure copying the files to external vendors.
  • Assisting the QA team in completing test cycles.
ETL LeadColumbus, OH 11/2009 - 06/2010
Cgi Group Inc.
  • Rack Scheduling is an Employee Workforce Management Application to forecast Employee work hours using Historical data, scheduling Labor as per availability and Actual Hours logged. Weekly and Monthly reports are created and distributed to the users using Micro Strategy narrowcast Administrator. The objective of this project is migration of ETL from the legacy system on Access database and Excel reports to a High performance Teradata Database and Microstrategy reports with improved Design Process.
  • Involved in gathering and understanding Business requirements from Vendor and MBIO (Marketing Business Information Office) team.
  • Designing the Logical and Physical Data models for extracting data from multiple heterogeneous sources.
  • Defining referential integrities by providing ER Modeling and developing Data Mappings according to Business rules.
  • Developed complex Extract Transform and Load (ETL) jobs, hands on experience in UNIX shell scripting and worked on various databases Teradata, Oracle.
  • Extracting high volumes of data using Fastreader from Oracle and loading into Teradata using
Fastloader.
  • Extracting data from Excel files, Oracle tables and loading to Teradata warehouse using FastLoad and Multiload.
  • Transforming the data per Business rules and loading to warehouse and mart tables using BTEQ scripts and stored procedures.
  • Managing User Access and creating Database objects in Development and Test environments. Assisting the QAG (Quality Assurance Group) team in complete system and End-to-End Testing. Involved with supporting UAT for Business Users.
ETL Senior Developer / FastExport.
CVS/Pharmacy
  • Involved in gathering and analyzing the Business requirements from Business users. Documenting the Functional Design document.
  • Defining the Primary Indexes for even data distribution and value access. Avoiding FTS (Full Table Scans) by declaring NUSI appropriately and running the EXPLAIN plans to
  • see if the secondary indexes are being used.
  • Developed stored procedures to load and transform data based on business logic.
  • Extracting high volumes of data using FastExport from Teradata Data warehouse and secure sharing the files using mechanisms like NASMOUNT.

Education

  • Bachelor of Technology: Computer Science and Engineering

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ตัวอย่างนี้ช่วยให้เห็นแนวทางการเขียนเรซูเม่สำหรับตำแหน่ง CAREER OVERVIEW ประสบการณ์ 10 ปี โดยเปิดด้วยบทสรุปที่บอกจุดเด่นของผู้สมัคร ตามด้วยประสบการณ์ทำงาน 12 ตำแหน่ง และข้อมูลการศึกษาที่จำเป็น คุณสามารถนำลำดับและวิธีนำเสนอไปปรับใช้ โดยเปลี่ยนรายละเอียดให้ตรงกับประสบการณ์จริงของคุณ

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