Position: Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 2


- Enhanced the team's performance by 85% by accelerating data processing speed and generating trends from diverse sources using Snowflake and Databricks.
- Created executive and operational dashboards using Tableau, Databricks and Snowflake.
- Identifying customer requirements, discussing details, and creating a step-by-step plan for problem-solving
- Created TensorFlow-based Machine Learning models (Linear Regression, Random Forest) for the prediction of data fluctuations, encompassing drops and spikes.
- Performed data analysis by using Pandas and NumPy libraries in Python, provide strategic insights based on the existing data metrics.
- Skilled at crafting intricate SQL queries and procedures to retrieve, manipulate, and update extensive datasets proficiently.
- Supervised data quality audits on processed data. Provided mentorship and guidance to junior data engineers.
- Created and updated numerous technical documents