Andrei Radosovici

Andrei Radosovici

Internship Trainee

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  • Timeline

  • About me

    Senior Quality Engineer at Tremend Software Consulting

  • Education

    • Grup Scolar Industrial Energetic Cernavoda

      2010 - 2014
      High School Diploma Automatizari
    • University POLITEHNICA of Bucharest

      2014 - 2018
      Engineer's degree Nuclear/Nuclear Power Technology/Technician
  • Experience

    • Electrocentrale Bucuresti (ELCEN)

      Jun 2017 - Aug 2017
      Internship Trainee
    • Expleo Group

      Jan 2019 - Aug 2021
      Automotive System Engineer

      Client PSA Groupe:Main responsibilities:• In charge of synthesizing the various calibrations on Diesel vehicles;• Changing of calibrations synthesis;• Performing tests and creating test reports on multiple projects ( engine, gearboxes );• Participating in Team and Customer Meetings;• Report work progress continuously through attendance of daily & weekly project internal meetings;• Constructing planning and indicators of freezing and maturity of the labels;• Support for solving problems on test benches;• Organizing meetings with customer and people working on PSA projects;• Creating and updating tehnical tutorials;• Training new teammates on the projects;• Working with specialized software for engine and vehicle calibration.Tool used: ControlDesk, INCA, DiagAlyser, DocInfo, Creta, Office package, Citrix Show less

    • Deloitte Digital

      Aug 2021 - May 2024

      Cloud Data Migration & Testing SpecialistMigrated 200+ data sources to the cloud, with a strong focus on automated and manual testing to ensure data integrity and transformation accuracy.Key Contributions:Data Consolidation & Transformation: Led end-to-end testing of data ingestion from multiple databases into Snowflake using Informatica, ensuring seamless data flow and transformation accuracy.Test Automation Framework: Designed and implemented a scalable automation framework integrating Informatica and Snowflake; utilized Python (pandas, pytest) for data validation, automated reporting, and test execution.Data Quality Assurance: Validated ingestion pipelines, data masking, and table structures. Performed functional and transformation-layer testing to guarantee data integrity from raw layers to data marts.Technical Integration: Enforced referential integrity and structural standards in Snowflake, strengthening consistency and reliability across migration stages.Efficiency Gains: Automated repetitive testing processes with Python, reducing manual effort and improving accuracy and turnaround time.Technical Skills:Informatica & Snowflake IntegrationData Quality Assurance & ValidationTest Automation (Python, pandas, pytest)Cloud Data MigrationFunctional & Performance TestingImpact: Ensured high-quality, reliable cloud data migration and transformation, delivering efficiency improvements and data integrity across all stages of the project. Show less

      • QA Automation Engineer

        Jun 2022 - May 2024
      • QA Analyst

        Aug 2021 - Jun 2022
    • Tremend Software Consulting

      May 2024 - now
      Senior Quality Engineer

      Project 1 – Synapse Data Lake & Power BIDesigned and developed a data quality testing framework using PySpark, enabling validation of large-scale data stored in Synapse Data Lake.Implemented automated test suites to check data ingestion, transformation logic, and schema compliance.Conducted manual validation in Power BI (PBI) to ensure accuracy of business reports against underlying datasets.Improved testing efficiency by streamlining data quality checks, reducing manual effort, and catching data issues early in the pipeline.Project 2 – Databricks & Power BIBuilt and executed data validation scripts in Databricks to ensure correctness of transformations and downstream reporting.Performed end-to-end data quality testing, including functional, transformation, and reconciliation checks across multiple sources.Collaborated with business teams to validate Power BI dashboards, ensuring that insights aligned with source-of-truth datasets.Enhanced overall trust in analytics by proactively identifying and resolving data quality gaps.Key Skills & Tools:Data Quality Assurance & TestingPySpark, Databricks, SQLAzure Synapse Analytics (Data Lake)Power BI ValidationTest Framework DevelopmentImpact: Strengthened data reliability across both projects, enabling stakeholders to make business decisions with accurate and consistent insights. Show less

  • Licenses & Certifications

    • International Computer Drivers License (ICDL,)

      ICDL Europe
      May 2013