Data Engineer specialising in scalable data pipelines, cloud data platforms and end‑to‑end ETL/ELT solutions across Azure, Databricks, Snowflake and Informatica Cloud.
I design, build and optimize modern data architectur…
Data Engineer specialising in scalable data pipelines, cloud data platforms and end‑to‑end ETL/ELT solutions across Azure, Databricks, Snowflake and Informatica Cloud.
I design, build and optimize modern data architectures using PySpark, Python, SQL, Delta Lake, Lakehouse patterns, and automated orchestration frameworks. My experience includes ingesting, transforming and modelling large datasets for analytics, BI, AI and real‑time use cases.
I have delivered production‑ready pipelines, improved data quality and reliability, and supported cross‑functional teams (Data Science, BI, Product) in building high‑impact, cloud‑native data products. I enjoy solving complex data problems, implementing best practices, and contributing to robust, scalable and cost‑efficient data ecosystems.
Technical Strengths:
Azure · Databricks · Snowflake · SQL · Python · PySpark · ETL/ELT · Data Modelling · Delta Lake · Cloud Architecture · CI/CD · API Integration · Data Quality · ML Pipelines · BI Enablement · Automation
Career Goals:
Seeking a Data Engineering role in the UK (London preferred) with Skilled Worker Visa sponsorship, where I can contribute to a modern data platform, drive technical excellence, and grow within a high‑performing engineering team.
Collaboration with data engineers to build pipelines
Design and improve ETLs
Implemented data model for self-service data
Tools/languages: Azure Databricks, Snowflake, Power BI, PySpark, Jira, Informatica Cloud
Development of Machine Learning solution that allows to recognize emotion based on speech
Development of the showcase website of HOTSHI D.A.C (www.hotshi.com)
Implementation of automatic email templates used by the Hotshi mobile application
Development of the administration platform for the Hotshi application and the Hotshi social network
Tools/languages: Laravel 8, Bootstrap 4, Javascript, SQL, OpenProject, GitLab
Development of the showcase website of HOTSHI D.A.C (www.hotshi.com), Implementation of automatic email templates used by the Hotshi mobile application, Development of the administration platform for the Hotshi application and the Hotshi social network
Project Owner on the integration of new institutions to the BINDOO digital finance platform (Togo and Benin)
Implementation of several functionalities (interfaces, web services, USSD modules with state design pattern, etc.) on the BINDOO digital finance web platform (www.ebindoo.com)
Development and integration of the report generation functionality (liasse fiscale) and of the exchange office in the financial institutions management application (Microfina++) deployed in several African countries (Togo, Benin, Niger, DRC, Mauritania)
Development of the platform of administration and generation of criminal records in the project of computerization of the delivery of criminal records in Togo (https://casierjudiciaire.gouv.tg)
Tools/languages : JEE, Javascript, PostgreSQL, Primefaces, Bootstrap 4, OpenProject, GitLab
Project Owner on the integration of new institutions to the BINDOO digital finance platform (Togo and Benin), Implementation of several functionalities (interfaces, web services, USSD modules with state design pattern, etc.) on the BINDOO digital finance web platform (www.ebindoo.com), Development and integration of the report generation functionality (liasse fiscale) and of the exchange office in the financial institutions management application (Microfina++) deployed in several African countries (Togo, Benin, Niger, DRC, Mauritania), Development of the platform of administration and generation of criminal records in the project of computerization of the delivery of criminal records in Togo (https://casierjudiciaire.gouv.tg)
Data design, management, transformation and optimization via ETL under Informatica Cloud
Implementation of a solution using the capabilities of AI
Tools/languages: Jira, Confluence, Informatica Cloud, Salesforce, Azure OpenAI, SQ Server, PostgreSQL, Streamlit, D3
Data design, management, transformation, and optimization via ETL under Informatica Cloud, Implementation of a solution using the capabilities of AI
Collaboration with data engineers to build pipelines, Design and improve ETLs, Implemented data model for self-service data
Designed and engineered cloud‑native data pipelines on Microsoft Azure, leveraging Azure Databricks, PySpark, Snowflake and Informatica Cloud to build scalable, secure and high‑performance ETL/ELT workflows. Implemented data ingestion frameworks, Delta Lake architectures, and automated orchestration for batch and near‑real‑time workloads. Optimised compute, storage and pipeline execution using Azure best practices, including cluster autoscaling, caching strategies and cost‑efficient resource management. Ensured data reliability through validation layers, monitoring, logging and CI/CD‑driven deployments. Collaborated with cross‑functional cloud, data and BI teams to modernise legacy pipelines and deliver enterprise‑grade, cloud‑first data solutions supporting analytics, reporting and AI use cases.
Developed a full Machine Learning solution able to detect human emotions from audio signals without using semantic content. Designed and implemented end‑to‑end processing pipelines including audio feature extraction, dataset preparation, model training and evaluation using Python, TensorFlow, Keras and classical ML algorithms. Built REST API endpoints with Flask and integrated the model into a Telegram bot for real‑time inference. Improved model performance through feature engineering, hyperparameter tuning and validation workflows. Delivered a lightweight, production‑ready prototype demonstrating the feasibility of emotion recognition for multimodal AI applications.
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