PROFILE: ◠7+ Years of experience in Big Data/ETL/Cloud based testing and currently working as an Automation Tester, presently associated with Atos Syntel, Gurugram, Haryana. ◠Exposure to all stages of Software Testing and Development Life Cycle. ◠Hands-on testing experience in Cloud services, Big Data and ETL. ◠Good understanding of Big Data & Cloud components, storage & compute services. ◠Analyze requirement documents (HLD, LLD, JIRA acceptance criteria) for test strategy, test plan and test case preparation. ◠Testing and providing test-prod support of data pipelines built on Cloud and Big Data technologies. ◠Experience in testing data pipelines ingestion, processing and orchestration using Airflow, Tidal and TWS scheduler. ◠Experience in testing migrated data from on-premise sources into Cloud storage and HDFS. ◠Contributed in setup of a data warehouse to perform data analysis queries. ◠Contributed in ETL and data modelling on Cloud and Big Data ecosystem components. ◠Designed and developed testing frontend (Selenium) & backend automation frameworks and enhanced existing automation frameworks. ◠Exposure to Rest API testing and hands on CI/CD implementation of test automation framework using Jenkins. ◠Have significant exposure to client facing roles, currently in a work from client location role. ◠Strong communication, interpersonal and team management skills. ◠Involved in Test result walkthrough sessions with clients and provide RTM at EOD. EXPERIENCE Atos Syntel, Gurugram: July 2021 – Present (Test Consultant) Ameriprise Financials US (Client)- July’21 - Now (AWS S3 storage, Informatica, IICS basic concepts , Tidal, My SQL server) RAVS ARP Story - With the introduction of a new data ingestion pipeline which is holding sensitive data and calculating the annuity and insurance at a financially pro rated level, currently working on SIT/UAT support of the RAVS ARP pipeline data at a granular level to match the baseline data provided by the business. Automation part: Automated the Tidal job scheduling process (day/hour level) using selenium, also created a csv file comparison framework based on primary key difference which reduced the comparison effort time taken by 40% approximately.
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