Satya M Email and Phone Number

Competent PSM 1 Certified Professional with 12.6+ Years of experience into Software Testing and Quality Process.Extensive work experience and expertise in Database, ETL, Hadoop, Data Analytic and Report Testing, System Testing Functional Testing, Black Box Testing, UAT, Agile and Regression Testing.7.5 + yrs. of experience into Database Testing, ETL, Hadoop and Report Testing using Tableau, MS Power BI, and Pentaho Report DesignerWell versed in Hadoop ecosystem and Knowledge in testing the process for Hadoop based application design and implementation.Gaining in-depth knowledge of associated business scenarios and Accountable for Identifying Test Scenarios mirroring actual business flows, Scope Identification, Regression suite preparation and Traceability Matrix.Work closely with Business Analysts, Developers and Scrum Master to ensure timely and effective testing effort. Extremely involved in defect triage/ defect review meetings and provided the testing team updates for assigned modulesIn depth knowledge of Testing methodologies, concepts, phases, and types of testing, developing Test Plans, Test Scenarios, Test Cases, Test Procedures, and documenting test resultsProvide comprehensive visibility to the project team by reporting Testing Progress and Defects; escalate issues when requiredInstrumental in Documenting, tracking, and communicating Bugs.Proficient in UNIX, SQL Queries and ETL process flow.Project Details: Synopsis:Project Title: Data Ingestion Pipeline:Role: QA LeadOrganization: Symphony SoftwareDuration: Mar 2023 to till dateEnvironment: Snowflake, Hadoop, MS Sql, Azure Blob Storage Spark, Scala, Airflow, HDFS, Kafka, Yarn, Java,.netTeam Size: 12WellStack offers healthcare organizations a modern, out-of-the-box data ecosystem that creates a single source of truth necessary for enterprise-wide decision-making. With a low-code/no-code approach, WellStack democratizes healthcare data and accelerates analytics by providing multi-channel data access to decision-makers, analysts, and researchers with varying technical skills. This strategy helps organizations maximize resource utilization by simplifying report development and analysis, resulting in a jumpstart on their data science journey with the flexibility to innovate and scale to meet future demands.