Diwan Negi
New Delhi
Summary
Leveraging Python, PySpark, Databricks, and Azure Data Factory having 3 years of experience in developing and supporting data pipelines for General Motors Finance across multiple regions. With expertise in issue resolution, root cause analysis and process optimization, I consistently enhance system reliability and efficiency. Skilled in monitoring EOD/EOM processes using automation scripts and preparing automated incident tracker sheets with Power BI.
Results-focused data professional equipped for impactful contributions. Expertise in designing, building, and optimizing complex data pipelines and ETL processes. Strong in SQL, Python, and cloud platforms, ensuring seamless data integration and robust data solutions. Known for excelling in collaborative environments, adapting swiftly to evolving needs, and driving team success.
Overview
5
5
years of professional experience
3
3
Certifications
Work History
Data Engineer
Mondee Pvt Limited
10.2020 - Current
- Data Engineer with the Interface Team for Client General Motors Finance (Chile, Colombia, Mexico, and Brazil).
- Leveraged Python, PySpark, and Databricks to understand customer requirements, validate scenarios, and provide high-quality issue resolution, ensuring customer satisfaction. This led to a 10% reduction in issue resolution time.
- Utilized Azure Data Factory for ETL Processes and automation to reduce the number of issues using root cause analysis (A3 and Kaizen methodologies) for permanent issue resolution, achieving a 12% decrease in recurring issues.
- Monitored end-of-day (EOD) and end-of-month (EOM) processes using automated scripts, ensuring smooth execution and timely data processing, resulting in a 15% improvement in process efficiency.
- Prepared automated incident tracker sheets using Power BI, tracking incidents and their aging on a daily basis, and sharing insights with the team to ensure high-quality issue resolution delivery, contributing to a 9% increase in incident resolution rate.
- Collaborated with clients during the UAT phase to ensure minimal defects and seamless implementation. Additionally, acquired hands-on experience with CI/CD pipelines.
Associate Data Engineer
12.2021 - 03.2023
- Explored new technologies such as Hadoop or Spark to process large volumes of unstructured data effectively.
- Enhanced data quality for analysis by cleansing, validating, and standardizing raw datasets.
- Stayed current with industry trends and emerging technologies by attending conferences, workshops, and webinars, ensuring continued growth as an Associate Data Engineer.
- Optimized data processing by implementing efficient ETL pipelines and data transformation techniques.
Education
BCA - Computer Applications Development
KSOU
09-2014
Skills
Cloud: Azure (Azure Data Factory, Blob Storage, ADLS)
undefinedCertification
Azure Data Fundamental, Microsoft Feb 2025
PUBLICATIONS
- Smart Shopping Assistant for Visually Impaired Persons using Raspberry Pi by International Journal of Advanced Science and Technology (IJAST) Mar 2020
- Automated Attendance Monitoring System using Face Detection and RFID Cards by International Journal of Innovative Technology and Exploring Engineering (IJITEE) Jan 2020
- Health Monitoring System using IoT using Arduino Uno Microcontroller by International Research Journal of Engineering and Technology (IRJET) Aug 2019
Timeline
Associate Data Engineer
12.2021 - 03.2023
Data Engineer
Mondee Pvt Limited
10.2020 - Current
BCA - Computer Applications Development
KSOU
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