Angeline K.

Analytics Data Engineer at IBM - Skilled in ETL | Python | Pyspark | Machine Learning | GCP

Role
Analytics Data Engineer at IBM
Location
Bengaluru, KA, IN
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Angeline K.

Google & Trendytech Certified Analytics Data Engineer, with good knowledge on distributed computing and building data pipelines for structured and semi-structured data. Highly self motivated and passionate at providing data engineering solutions for real-time and huge volumes of data. Also well acclimated to doing predictive analysis on data using statistical methods or machine learning or deep learning methods as seen necessary. Always making best use of Data at hand, doing descriptive, predictive and prescriptive analysis via optimized data pipeline adhering to security and best practices. Data pipeline robustness and flexibility is pivotal to any enterprise hence I always ensure the pipelines are highly automated,flexible to any source of data such as Database and REST API\'s and well logged,making it debug friendly and deployment ready using Docker to package the pipeline application with all of its requirements and configurations deploy it as a container. Have demonstrated mentorship and leadership skills by providing employee training for new hires, offering continuous guidance and mentorship on best practices while providing constructive feedback. Skills: Artificial Intelligence: Machine Learning, Deep Learning Big Data: PySpark, DataProc Programming: Python, PySpark, SQL Cloud: GCP Databases: Elasticsearch,MongoDB,MySQL File Formats: JSON, Parquet, CSV Visualisation tools: Kibana,Tableau Version Maintenance: GitHub, GitBash CI/CD: Github actions, Minikube, docker, Helm Charts Workflow automation : Airflow and python scheduling Machine Learning: sklearn, scipy and statsmodels Artifical Intelligence: Keras and Tensorflow

Experience

  1. Analytics Data Engineer

    IBM

    Jan 2020 — Present · IN

    Responsible for running optimized ETL processes for Backup metadata and performing predictive analysis on extracted data creating client benefits by providing one stop shop of all analytical reports to ascertain status quo of Backups performed and past performance in form of anomalous activity to be reported and future forecasts given current trend/ behaviour observed.

Education

  • Karunya Institute of Technology and Sciences

    Bachelor of Technology - BTech

    2014 — 2018

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Angeline K. — Analytics Data Engineer at IBM in Bengaluru, KA, IN | Unifers