Chandrakant Katore

Background

About Chandrakant Katore

Team handing for 30+ team members • Clients and stakeholder management • Drive end to end Data warehouse, ETL and Migration projects and solve the technical issues along with change requests from clients. • Experience on Scaled Agile framework • Facilitated client discussions and all scrum events including daily scrum meetings, Sprint planning, Backlog refinements, Sprint review and Retrospectives. • Ensured PI Planning, Capacity planning and remove team blockers • Share Project updates with Clients and Stake holder by creating excellent dashboards • Works with the test and quality team to ensure projects are delivered on time and to budget • Create estimation and planning for ETL/DWH and Migration project • Create KT and handover/takeover Plan for boarding/off boarding QA engineer • Production support and maintenance for deployed projects/stories • Act as the single point of contact between Development and Testers • Build test plans, test scenarios and test data to support development projects and project requirements and design documents • Identify regression testing needs for ETL/DWH/Migration project • Planning, designing, and executing testing activities related to ETL processes • Work closely with ETL developers, data engineers, business analysts, and other stakeholders to ensure the successful delivery of ETL projects • Experience testing multiple test phases in medium to large projects and have adequate experience and clear understanding of data warehouse and data mart testing • Expertise in testing data platforms and analytics services such as Snowflake SQL, Python ETL/ELT, Tableau and MicroStrategy metrics, visualization, dashboards and reports • Test Script creation, Test Execution and Defect Reporting and tracking • Experienced level knowledge - Business Intelligence/reporting tools including Tableau and MicroStrategy • Expertise of Unix/Linux environments • Experience in writing complex SQL scripts and use it in test/prod data validations and ETL testing. • Experience validating large volume of loaded/transformed data • Translate ideas and business requirements into fully functioning ETL workflows. • Experience in Apache Airflow workflows • Experience in testing API using Postman. • Experience in GS storage (Google cloud storage) • Experience in Databricks (Notebook, Workflows and SQL editor) • Experience in Databricks Lakehouse (Bronze, Silver and Gold layer) • Experience in Apache Airflow • Experience in Aiven Kafka • Experience in Postman • Experience in JIRA/TestRail for test case management