Soufiane Taabani

Key Responsibilities: Designed and developed scalable data pipelines leveraging AWS services Deployed cloud infrastructure using Infrastructure as Code (IaC) tools such as AWS CDK and Terraform Integrated Large Language Models (LLMs) via Amazon Bedrock to enable content generation and automated business data summarization Monitored and maintained the reliability of data workflows and job execution Implemented enterprise IT standards and governance frameworks in alignment with internal policies Participated in architecture committees, contributing to the definition of data strategy and cloud adoption Delivered business-centric reporting and insights to support decision-making Technical Stack: Languages: Python, SQL Frameworks & Tools: Apache Spark, Jenkins Cloud & Data Services: AWS (Glue, Lambda, Athena, Kendra, Bedrock, Step Functions, Redshift, SageMaker) IaC: AWS CDK, Terraform

Key Responsibilities: - Designed and built a data warehouse on AWS to centralize and structure business data - Developed and maintained batch processing jobs in Python for reporting, billing, and auditing purposes - Built and managed an alerting system to detect fraudulent customer behavior - Developed analytical dashboards for business users using Amazon QuickSight - Conducted proofs of concept (PoCs) for real-time dashboard solutions using Python 3, Kafka, and ELK - Exposed REST APIs using Flask and SQLAlchemy for data access and service integration - Consolidated, enriched, and optimized raw data for business use and decision-making - Participated in design and validation committees to align technical solutions with business needs Technical Stack: - Python 3: Pandas, NumPy, Requests, Flask, ReportLab, Psycopg2, etc. - AWS: Lambda, Redshift, API Gateway, S3, EC2, CloudWatch, SES, Athena - SQL - Apache Spark - Docker - Kafka - ELK Stack (Elasticsearch, Logstash, Kibana)

Key Responsibilities: - Imported data flows from the shared Hadoop platform - Processed and analyzed data using Jupyter with Python 3 (Pandas, NumPy, etc.) - Created Hive tables for structured data storage - Ensured data quality in databases using SQL scripting - Monitored the Hadoop cluster with Ambari - Automated monthly data integration using shell scripting - Drafted analytical reports - Collaborated with business domain experts Technical stack: Python, SQL DBX, Jupyter, Linux, Shell, Teradata SQL Assistant, PuTTY, Hive, Ambari, Toad for Oracle, Squash, Microsoft Office Suite, Jira, Confluence, WinSCP, Hadoop, HDFS

- Collecting, cleaning, and transforming data from various sources - Performing exploratory data analysis to identify trends and anomalies - Creating automated reports and dashboards (Tableau software) - Modeling data to meet business requirements - Collaborating with technical and business teams to provide data-driven recommendations Skills: Python, SQL, Testlink, Normea, Assembly, Integration and Testing