Ababacar Sy Badiane

Senior Data Engineer on "Custom Tracker" topics in AWS, Databricks environment with PySpark pipelines orchestrated on Airflow.

Senior Data Engineering, Data Quality Analyst at AVIV Group (Groupe SeLoger, Meilleurs Agents etc. ) in France, Germany and Belgium. KPI Development: Developing new key performance indicators (KPIs) for leads, campaigns, and tracking is essential for understanding the effectiveness of marketing efforts across various platforms. Utilizing tools like Google Analytics, Google Tag Manager (GTM), and Adjust demonstrates a commitment to leveraging modern analytics solutions. Data Management: Creating and maintaining complex, high-volume datasets is crucial for generating accurate insights. Adhering to precise functional specifications ensures data integrity and reliability, which are paramount for informed decision-making. Infrastructure Optimization: Building a solid and optimal infrastructure for the extraction, transformation, and loading (ETL) of data from numerous sources is fundamental for efficient data processing. Decentralizing data and implementing the Data Mesh approach within the AVIV Group indicates a forward-thinking approach to data architecture. Collaboration: Working closely with Data Scientists and Data Analysts to develop new functionalities underscores the importance of cross-functional collaboration in driving innovation and unlocking insights from data. Compliance and Security: Implementation and monitoring of processes related to GDPR compliance, security, and privacy highlight a dedication to safeguarding customer data and ensuring regulatory adherence.

Data Engineering and Cloud Data (GCP) In the CEM (Customer Experience Management) area, the mission consists of developing KPIs for the business to analyze customer satisfaction. KPI Development: Creating new KPIs to enrich the model for analyzing customer satisfaction. These KPIs serve as vital metrics to evaluate the effectiveness of various offers in enhancing the overall customer experience. Developing user defined functions in performing complex calculations and transformations on large datasets within the CEM system to calculate KPIs efficiently. Functional and Technical Specification: Composing detailed functional and technical specifications to guide the development process. These documents ensure clarity and alignment with business requirements and technical capabilities. Anomaly Analysis and Production Bug Fixing: Analyzing and rectifying anomalies in production to ensure the smooth operation of the CEM system. This involves troubleshooting issues, identifying root causes, and implementing appropriate solutions to maintain system integrity and performance.

Building decision-making information system focused on analyzing EDF's customer data to enhance customer loyalty, particularly utilizing data from Linky meters to tailor offers to their needs. Customer Data Analysis: analyze customer data, with a specific focus on consumption indexes from Linky meters. This analysis aims to understand customer consumption patterns to propose more personalized offers tailored to their specific needs. Creating ODI/Sqoop flows to populate the Oracle database from HIVE, HBASE etc. Reading Kafka messages deposited by suppliers such as Enedis for electricity and GRDF for gas. Developing Shell scripts to automate tasks like generating targeting files for marketing campaigns. Java development for processing with Spark. GDPR Compliance: ensure that all activities related to the collection, processing, and storage of customer data comply with the General Data Protection Regulation (GDPR). This includes obtaining customer consent and implementing security measures to ensure the confidentiality and integrity of personal data. Functional Specifications and Test Strategy: developing detailed documents outlining the functional specifications of the decision-making system as well as the testing strategy to ensure the system meets the requirements and expectations of end users. Recovery of Marketing Campaign Tracking Data: retrieve tracking data from marketing campaigns, whether through mailings or SMS. This data is crucial for assessing the effectiveness of campaigns and adjusting marketing strategies accordingly.

Design and develop a collaborative web application, operating in Software as a Service (SaaS) mode, catering to both businesses and individuals. This platform facilitates the definition and organization of digital signature workflows. Solution Analysis and Design: analyze requirements and conceptualizing the solution architecture. This involves understanding user needs, defining system functionalities, and outlining the technical design. Backend Development with Java and JHipster: develop the backend of the application using Java, leveraging the JHipster framework. This includes implementing business logic, data processing, and integrating with the PostgreSQL database through entity generation. Integration with Public Key Infrastructure (PKI) : establish connections between the backend and PKI using web services. This involves implementing both SOAP and REST APIs for communication and data exchange between systems. Frontend Development with Angular: develop the frontend of the application using the Angular framework. This includes designing user interfaces, implementing interactive components, and ensuring a seamless user experience. Full Application Development: end-to-end development of the application, from backend to frontend, ensuring that all components work together harmoniously to deliver the intended functionality.

Comme développeur d'applications (web et mobile ).