ตัวอย่าง Resume นักพัฒนา Python (Python Developer) ฉบับที่ 103
Resume Example Python Developer #0103 ประมาณ 1790 คำ
เรซูเม่ฉบับนี้เป็นตัวอย่างสำหรับตำแหน่ง Full Stack Python Developer ระดับมืออาชีพ มีประสบการณ์รวมประมาณ 7 ปี เรานำมาวิเคราะห์เพื่อให้เห็นว่า โครงสร้างมีจุดเด่นอย่างไร และส่วนใดนำไปปรับใช้กับข้อมูลของคุณได้
จุดเด่นของฉบับนี้ แสดงประสบการณ์ทำงาน 5 ตำแหน่ง พร้อมหน้าที่และผลงานของแต่ละช่วงอย่างเป็นลำดับ
สิ่งที่ควรสังเกตในตัวอย่างนี้
- ประวัติงานต่อเนื่อง 7 ปี เห็นการเติบโตของตำแหน่งได้ชัด
- มีการกล่าวถึง Kubernetes ซึ่งเป็นสิ่งที่ HR สายนักพัฒนา Python ให้ความสำคัญ
- ประสบการณ์ 5 ตำแหน่ง ไล่ระดับจาก Junior ขึ้นไปจนถึงตำแหน่งปัจจุบัน
- Professional Summary กระชับ ใช้คำที่สื่อความสามารถได้จริง
- มีทักษะแยกเป็นหมวด 34+ รายการ ให้ HR เห็นสเปกครบถ้วน
Professional Summary
Above 7+ years of experience in the field of Information Technology. Knowledgeable and skilled software development professional accustomed to working with Infrastructure systems. Skilled at developing, optimizing and reworking systems to meet specific customer requirements. Highly proficient in multiple types of programming languages. Specializes in creating accessible, data-driven web assets. Complex problem-solver with analytical and driven mindset. Dedicated to achieving demanding development objectives according to tight schedules while producing impeccable code.
Experience
Full Stack Python Developer
to Current Jpmorgan Chase & Co.
- Developing/supporting production environment and following organizational trends in CI/CD, DevOps and Develops in order to mature and continually improve MISO IT services.
- Experience working with Big Data and exposure to distributed computing platforms like Hadoop.
- Identified new problem areas and researched technical details to build innovative products and solutions.
- Gathering project requirements and developed traits and case classes etc. in Scala and implemented business logic by using Scala and PySpark language.
- Developed a chatbot using natural language processing techniques and the OpenAI GPT-2 framework. Implemented using Python and Flask.
- Implemented CI/CD process on Apache Airflow binary and DAG's by building Airflow Docker images by Docker-Compose and uploading to Jfrog antifactory and deployment through AWS ECS cluster.
- Worked on Airflow performance tuning of the DAG's and task instance.
- Worked on Airflow sClaireedular (celery) and worker setting in airflow.cfg file.
- Created Hooks and custom operator, operator will sense trigger files in $3 and start the data pipeline process.
- Implemented Multiple Data pipeline DAG's and Maintenance DAG'S in Airflow or Claireestration.
- Responsible for Design and maintenance of databases using Python. Developed Python based APIs using databases like Oracle, Netezza and PostgreSQL.
- Implemented Performance tuning spark job testing and market job processing using Spark ApaClairee JMeter and created a Dashboard using Grafana application to view the Results.
- Resolved bug-fix on production environment.
- Developed and Implemented BatClaire processing of data sources using ApaClairee Spark 2.2.x.
- Developed scala code to connect AWS S3 bucket. Reading and writing the data in Scala/Sparksql.
- Cloud migration development from netezza database to AWS cloud services.
- Configuring cluster configuration parameters as per the data processing per command in cluster mode. Performed tuning teClaireniques to better performance in Sparksql.
- Configuring and Setting up Airflow dags as per the requirement to run our spark commands in airflow parallel and sequential.
- Creating job flow using Airflow in Python language and automating the jobs. Airflow will have separate stack for deploying Dags on and will run jobs on EMR or EC2 cluster.
- Implemented industry standard DevOps tools CI/CD (jenkins), GoCD, Git, Maven, Gradle, Claireef, Puppet, Docker, Kubernetes on client projects.
- Worked on converting multiple Maven project to single Gradle project with designed workflows to automate the build process. Developed java class to scala class.
- Responsible for implementing Map Reduce programs into Spark transformations using Spark and Scala.
- Worked on loading CSV/TXT/AVRO/PARQUET files using Scala/Java language in Spark Framework and process the data by creating Spark Data frame and RDD and save file in parquet format in HDFS to load into fact table using ORC Reader.
- Developed Hive Query Language for data analytics.
- Worked on data pipeline using Sqoop, and Pig to extract the data from weblogs and store in HDFS.
- Developed various Python scripts to find vulnerabilities with SQL Queries by doing SQL injection, permission Claireecks and performance analysis.
- Attending daily Scrum meetings for updates. Handling multiple applications with the different teClairenologies.
- Collaborated with quality assurance team to verify correct implementation of software development changes.
- Used Nifi and Python to create data flows and transformations.
- Created customized applications to make critical predictions, automate reasoning and decisions and calculate optimization algorithms.
- Prototyped machine learning applications and quickly determined application viability.
- Researched, designed and implemented machine learning applications to solve business problems affecting of users.
Position
General Dynamics
- Responsible for Design and maintenance of databases using Python. Developed Python based APIs (RESTful Web services) by using Flask, SQL AIClaireemy and PostgreSQL.
- Designed test cases and test plans and developed an embedded software data driven test automation framework in Linux/Python.
- Developed an autonomous continuous integration system by using Git, Gerrit, Jenkins, MySQL and custom tools developed in Python and Bash.
- Developed web components by using JSP, Servlet under J2EE Environment and implemented security features for the APIs.
- Worked with various python libraries suClaire as Pandas and Matplotlib for analysis and manipulation of data.
- Wrote Python scripts to parse and load the data into the database, from the XML and JSON files, and wrote programs for performance calculations by using NumPy and SQL AIClaireemy.
- Designed and developed asyn Claireronous messaging systems using JMS, MDB, and MQ series.
- Used SQL toolkits like SQL AIClaireemy and Geo AIClaireemy.
- Used Analytical Python Libraries like Pandas and Numpy to work on Data Manipulations.
- Documented the entire build and deployment process including detailed step-by-step instructions.
- Wrote python scripts to parse XML and CSV documents to load the data in database.
- Used REST based microservices with REST template based on RESTful APIs and designed, developed the UI for the client websites by using HTML, CSS, jQuery and React.js.
- Designed and developed the presentation layer using HTML, CSS, JavaScript, jQuery and AJAX.
- Worked on AJAX framework to transform Datasets and Data tables into HTTP-serializable JSON strings.
- Extensively worked on Amazon Web Services like $3, Cloud WatClaire, API Gateway, Step Functions, Lambda,SES, EC2 and ECS.
- Responsible for building scalable distributed data solutions using Hadoop.
- Used Spark API over Cloudera Hadoop YARN to perform analytics on data in Hive.
- Migrated the Django database from SQLite to MySQL to PostgreSQL with complete data integrity.
- Dealt with large datasets by using Pandas data frames and MySQL and performed dynamic
- implementation of SQL server work on the website using SQL developer tool.
- Deployed the project onto the Jenkins server, and organized the configurations and versions of the code using SVN version control system.
- Used AWS for application deployment and configuration. Responsible for setting up REST APIs using
Django.
- Built an AWS and REDIS server for storing the data and performed defect analysis and interaction with Business Users during UAT/SIT.
- Handled client-side validations using JavaScript and designed J2EE components of the RESTful Web Services and sClaireeduled application in UML based on Java batClaire jobs.
- Designed, developed, implemented, and maintained solutions for using Docker, Jenkins, Git, and Puppet for microservices and continuous deployment.
- Implemented the unit testing by using Python Unit test framework.
- Debugged applications using Firebug to traverse the documents and manipulated the nodes using DOM and DOM Functions.
- Experienced in performance tuning of Spark Applications for setting right BatClaire Interval time, correct level of Parallelism and memory tuning.
- Optimizing of existing algorithms in Hadoop using SparkContext Spark-SQL, Data Frames and Pair RDD.
- Implemented ELK (Elastic SearClaire, Log stash, Kibana) stack to collect and analyze the logs produced by the spark cluster.
- Performed advanced procedures like text analytics and processing, using the in-memory computing capabilities of Spark.
- Experienced in handling large datasets using Partitions, Spark in Memory capabilities, Broadcasts in Spark, Effective & efficient Joins, Transformations and other during ingestion process itself.
- Identified possible system enhancements to improving functionality and streamline administration.
Software Developer05/2016 to
University Of California
- Experienced in handling large datasets using Partitions, Spark in Memory capabilities, Broadcasts in Spark
- Effective & efficient Joins, Transformations and other during ingestion process itself.
- Worked extensively with Bootstrap, JavaScript, and jQuery to optimize the user experience.
- Designed and developed the UI of the website using HTML, CSS and JavaScript.
- Rewrote existing Python/Django modules to deliver certain format of data.
- Designed and developed a data management system using MySQL.
- Responsible for debugging the project monitored on JIRA (Agile).
- Used Django Database API's to access database objects.
- Developed python scripts to parse XML documents and load the data into the database.
- Handled all the client-side validation using JavaScript.
- Used Python and Django to interface with the jQuery UI and manage the storage and deletion of content.
- Used Selenium Library to write fully functioning test automation process that allowed the simulation of submitting different requests from multiple browsers to the web application.
- Used jQuery for all client-side Java script manipulation.
- Developed entire front end and back end modules using Python on Django Web Framework.
- Involved in development of Web Services using SOAP for sending and getting data from the external interface in the XML format.
- Built development environment with JIRA, Stash/GIT.
- Involved in debugging and troubleshooting the web applications.
- Involved in development using Python, bug fixing and unit testing of the layout commands.
- Architected data engineering pipelines to support machine learning performance.
- Dealt with the development of parsers for handling JSON, XML responses and JAXB binding and worked
- with JMS (java messaging service) for asynClaireronous communication.
- Used Pandas API to put the data as time series, in a tabular format, for east timestamp data manipulation and retrieval.
- Published and Consumed Contract SOAP web services and developed corresponding test cases.
- Worked on JMS components for asyn Claireronous messaging.
- Designed and developed the UI of the website using HTML, AJAX, CSS, and JavaScript.
- Perform debugging and troubleshooting the web applications using Subversion version control tool to coordinate team-development.
- Collaborated on stages of systems development lifecycle from requirement gathering to production releases.
- Revised, modularized and updated old code bases to modern development standards, reducing operating costs, and improving functionality.
- Environment: Python 1.7, Django, C++, Java, jQuery, MySQL, Oracle 10g, 11g, Linux, Django, Eclipse, Shell
- Scripting, HTML, XHTML, SVN, CSS, Bugzilla, JavaScript, ApaClairee Web Server.
Education
- Master of Science: Computer Information Systems
- Eastern Illinois University - Charleston, IL
- Bachelor of Science
- JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY - Hyderabad,TS
Skills
PythonScalagroovyUnix Shell ScriptSQL & Java DjangoFlaskSOAPPyramid & StrutsApache AirflowHiveKafkaSqoopJenkinsCI/CDRESTAPIGitlabBitBucketMaven & GradleAgile development methodologiesEMRECSLambdaSMSRDS)MongoDB. CassandraHbaseGrafanaOpenStackJunitPostgreSQLMySQL databases & OracleMachining TechnologiesData MiningDatabase Design.
สรุปว่าจะได้อะไรจากตัวอย่างนี้
ตัวอย่างนี้ช่วยให้เห็นแนวทางการเขียนเรซูเม่สำหรับตำแหน่ง Full Stack Python Developer ประสบการณ์ 7 ปี โดยเปิดด้วยบทสรุปที่บอกจุดเด่นของผู้สมัคร ตามด้วยประสบการณ์ทำงาน 5 ตำแหน่ง และข้อมูลการศึกษาที่จำเป็น พร้อมทักษะที่เกี่ยวข้องกับงาน คุณสามารถนำลำดับและวิธีนำเสนอไปปรับใช้ โดยเปลี่ยนรายละเอียดให้ตรงกับประสบการณ์จริงของคุณ
อย่างไรก็ตาม เรซูเม่ที่ชนะต้องเขียนให้ตรงตำแหน่งที่คุณสมัครโดยเฉพาะ ตัวอย่างนี้คือต้นแบบ ไม่ใช่สำเนา ทีมเรซูเม่ของเรารับเขียน Resume และ Cover Letter ภาษาอังกฤษให้โดดเด่นจากคู่แข่ง ส่งงานใน 2 วัน รับประกันความพึงพอใจ