abderrahmen mira

Created analytical models to measure key performance indicators (KPIs) and provide insights to decision-makers, • Developing and managing end-to-end data pipelines, leveraging SQL and Python, resulting in a 10% reduction in data processing time • Designed and implemented interactive dashboards using Power BI and Zebra Visualization • Conducted data analysis, including data cleansing, data exploration, and statistical analysis, to identify patterns, trends, and opportunities for process optimization.

Designed, developed, and maintained ETL pipelines using Azure Data Factory, leading to a 25 % reduction in data processing errors and improved data accuracy. • Leveraged Azure Databricks to preprocess and transform raw data, improve data quality, and a more efficient downstream analytics process. • Effectively managed Azure SQL Data Warehouse, optimizing schema design and query performance, • Successfully integrated data from various sources into a unified data platform on Azure

Created automated ETL and data pipelines. • Automated data cleansing • Detected and Reported data anomalies and Performed Data cleaning on the data before using it in analytics. • Designed Data Models and architectures data analytics and Visualisation • Technologies: Python, Microsoft Azure services DataBricks, DataFactory, and Synapse Analytics, PySaprk Power BI Analytics ,Git, GitHub