Murali M

Experience

• 

  Capgemini

  Mar 2020 - Nov 2024

  Designed, developed, and implemented ETL (Extract, Transform, Load) configurations to facilitate the transformation and loading of data into Google Cloud Platform's Big Query, ensuring optimized performance and scalability. Collaborated with stakeholders to understand reporting and visualization requirements, translating them into efficient ETL processes. Executed data quality checks and validation procedures to maintain the integrity and accuracy of the data. Provided ongoing support and troubleshooting for ETL processes, ensuring seamless data flow for reporting and visualization purposes. Show less

  • Consultant

    Jul 2023 - Nov 2024

  • Associate Consultant

    Apr 2022 - Jul 2023

  • Senior Software Engineer

    Mar 2020 - Mar 2022
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  Coding Samurai

  Nov 2023 - Dec 2023

  Python Development Intern

  I had the opportunity to work as a Python Development Intern from November 17 to December 17, gaining valuable hands-on experience in software development. During this one-month internship, I actively contributed to expense tracker application and to do list application, collaborating with a talented team to enhance my Python programming skills. This experience has deepened my understanding of python programming language, and I look forward to applying these skills to future projects. Grateful for the learning and growth achieved during this period! Show less

• 

  IBM

  Nov 2024 - now

  Senior Data Engineer

  Dynamic and Highly Motivated Data EngineerWith 4.8 years of professional experience specializing in Google Cloud Platform (GCP), SQL, Python, and Shell scripting, I bring a strong background in object-oriented design and user-centered solutions. Known for actively contributing to system enhancements and delivering optimized ETL solutions, I excel in designing robust, scalable pipelines on the cloud.My expertise includes:Cloud Technologies: Proficient in GCP services such as BigQuery, Dataflow, Cloud Composer, Cloud Storage, and Dataproc.Programming & Automation: Developing efficient Python scripts, writing complex SQL queries, and creating automated solutions using Shell scripting.Data Engineering: Skilled in designing and implementing data pipelines for real-time and batch processing, ensuring high availability and reliability.Team Collaboration: An enthusiastic team player with a knack for problem-solving and driving results in cross-functional environments. Show less