Analytics Engineer
Responsible for data pipelines, BI dashboards and data analysis using:- For data extraction: Python, GraphQL API.- For data orchestration: Apache Airflow- For data transformation: Pandas (Python library), PySpark (Python library) and M language (Microsoft Power BI).- For databases: Oracle 11g, SQL Server, MySQL, MariaDB.- For cloud services: AWS S3, AWS Glue Jobs, AWS Lambda, AWS Redshift- For deploying code: Git.- For data visualization: Microsoft Power BI, Google Looker and Dash (Python library).- For data analysis: Microsoft Excel, Google Sheets and DAX (Microsoft Power BI).- For tracking e-commerce events: Google Analytics and Google Tag Manager.- For communication: Scrum (Agile methodology) with multidisciplinary teams and English for meeting with clients.All technologies above were used in the context of e-commerce, marketing and social media data.