Ismail JABRI's Linkedin Analytics

Ismail Jabri is a Data Engineering expert with extensive experience in building scalable data architectures, designing data models, and delivering robust ETL solutions. Specializing in crafting efficient data pipelines, automating complex workflows, and implementing data governance frameworks, Ismail ensures high-quality, actionable insights that drive business success. His technical expertise spans across cloud platforms like GCP, AWS, and Azure, with a focus on optimizing big data workflows and leveraging cutting-edge technologies. Tech Stack : -𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: GCP (BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Functions), AWS (S3, EC2, Lambda, Glue, API Gateway, SageMaker), Azure (Azure Data Factory, Azure SQL Database, Azure Blob Storage) 🔷𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 & 𝗘𝗧𝗟: Hadoop, Spark, PySpark, Cloud Data Fusion, Apache Airflow, Azure Data Factory 🔷𝗗𝗮𝘁𝗮 𝗦𝘁𝗼𝗿𝗮𝗴𝗲 & 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: MySQL, MongoDB, Teradata, Firebase, Redshift, Azure SQL, SAS 🔷𝗗𝗮𝘁𝗮 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴: Erwin, UML, Entity-Relationship Diagrams (ERDs), Lucidchart, draw.io 🔷𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 & 𝗦𝗰𝗿𝗶𝗽𝘁𝗶𝗻𝗴: Python, SQL, Java, R, C#, Bash 🔷𝗗𝗮𝘁𝗮 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 & 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Collibra, ETL Automation, Data Warehousing, Data Pipeline Optimization 🔷𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧, 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐂𝐈/𝐂𝐃: Docker, Kubernetes, Git, Terraform, Jenkins, CI/CD pipelines, Infrastructure as Code (IaC) 🔷𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 & 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴: Power BI, Looker, Tableau, Alteryx 🔷𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 & 𝗔𝗴𝗶𝗹𝗲: 𝗝𝗶𝗿𝗮, 𝗖𝗼𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲, 𝗔𝗴𝗶𝗹𝗲 𝗠𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝗶𝗲𝘀, 𝗦𝗰𝗿𝘂𝗺, 𝗦𝗽𝗿𝗶𝗻𝘁 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 With a deep understanding of cloud platforms like GCP, AWS, and Azure, Ismail excels at creating scalable, secure data pipelines and optimizing complex ETL processes. His strong background in data modeling ensures that business needs are met with well-structured data architectures. He has extensive experience in automating data integration workflows using tools like Cloud Data Fusion, Azure Data Factory, and Apache Airflow. Ismail thrives in Agile environments, actively participating in sprint planning, backlog refinement, and cross-functional team collaboration. His proficiency in tools like Jira and Confluence allows him to manage projects efficiently, ensuring timely delivery of high-quality data solutions. Passionate about solving complex challenges, he is committed to driving business growth through data-driven innovations and effective collaboration.