Vivian G.Data Engineer
Skills
Data professional specializing in programming with Python and SQL, currently pursuing an MBA in Data Science & Analytics. Exhibits proficiency in Python and SQL, with extensive experience working with MySQL and PostgreSQL databases. Demonstrates expertise in cloud computing environments, including AWS and GCP, along with the use of Airflow for orchestrating workflows. Capabilities encompass building ETL processes and data pipelines, retrieving data via APIs, and integrating data using Informatica Cloud. Skilled in process automation through Python and Power Automate, as well as having a solid foundation in Business Intelligence and Data Visualization. Soft skills include agility, assertive communication, empathy, and organizational proficiency.
IT Analyst II - Automation and Data
8/1/2022 - Present
Developed proficiency in data requisition through APIs and built ETL processes leveraging Pentaho PDI and Python. Gained expertise in crafting complex queries and constructing business rules using SQL. Automated various processes utilizing Python and Power Automate. Enhanced skills in Business Intelligence and data visualization.Data Engineer
3/1/2022 - 8/1/2022
Developed expertise in data analysis and construction of business rules using BigQuery. Gained extensive knowledge in the extraction and analysis of AWS account billing data. Generated detailed reports utilizing Looker Studio. Provided assistance in constructing data pipelines employing the Google Cloud Platform tool stack, specifically using Cloud Storage, Cloud Functions, Cloud Scheduler, Pub/Sub, BigQuery, Looker Studio, Datafusion, Dataproc, and Composer (Airflow). Demonstrated skills in data integration through the use of Informatica Cloud Data Integration.Data Engineering Intern
5/1/2021 - 3/1/2022
Developed proficiency in data analysis and business rule construction using BigQuery. Gained expertise in extracting and analyzing AWS billing account data, along with reporting capabilities in Looker Studio. Contributed to building a data pipeline utilizing the Google Cloud Platform tool stack, which included Cloud Storage, Cloud Functions, Cloud Scheduler, Pub/Sub, BigQuery, Looker Studio, Data Fusion, Dataproc, and Composer (Airflow). Enhanced skills in data integration through the use of Informatica Cloud Data Integration.
Data Science & Analytics at USP ESALQ
2023 - 2024
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