Makram Amor

Design, and scale data products and deploy them on public and private clouds (Google Cloud ). Design and develop extract, transform, and load (ETL) mappings, procedures, and schedules, following the standard development lifecycle Design, build and scale data products, and deploy them on public and private clouds GCP Support Data warehousing team with Data continuous integration CI and gradual deployment analytics. Work with software administrators to install, configure and troubleshoot ETL platform

Performing customer segmentation to identify the best marketing strategy through Exploratory data analysis EDA. Creating views, functions, and stored procedures and provide documents of Metadata Writing optimized SQL queries for integration with other applications/ IT projects Creating database triggers for use in automation Translate business propositions into quantitative queries and collect/clean the necessary data. Utilize MongoDB to create NoSQL databases that harvest data from a variety of sources

The aim of this project was to develop an accurate analysis of the maintenance operations performance and to identify prospective areas of improvement to help integrate a smart maintenance system and study its cost and profitability. conducted market analysis to study feasibility and challenges of smart maintenance create interactive visualizations using SQL and PowerQuery Implement ML algorithms for operations classification Developed Key Performance Indicators to monitor profitability ratios