Abdul Chribati

Developed and maintained automated ETL/ELT pipelines using AbInitio, Python, and Bash, reducing manual intervention and increasing throughput by 40%. Diagnosed and resolved data pipeline failures across staging, core, and mart layers to enhance reliability. Maintained multiple environments and automated data processing workflows, ensuring seamless loading into staging and core tables. Collaborated closely with analytics, QA, and client-facing teams to align data pipelines with reporting needs, ensuring data integrity across departments. Technologies & Tools: Python, Abinitio, Bash, SQL, Jenkins, Exasol, SAP PowerDesigner, DBVisualizer.

Performed functional testing of data models and transformation APIs to ensure reliable and scalable data transport across systems. Built a QA Management framework using Python, Pytest, AWS, Cypress and Cucumber to automate validation of data transformations prior to deployment. Evaluated and prototyped Kafka integration. Integrated Test Driven Development (TDD) in QA workflows, developing test cases and data mocks prior to implementation to validate transformations. Technologies & Tools: Python, Java, Javascript, Apache Airflow, AWS (S3) Docker, Kafka, Selenium, Jira, XRay.

Developed automated validation pipelines using Python, PySpark, and Airflow. Built scalable testing frameworks with Cypress and Cucumber, increasing release confidence by 30% Designed asynchronous CRUD APIs with FastAPI to improve response times and handle concurrent requests efficiently. Built containerized CI/CD pipelines with Docker and Jenkins, enabling scalable, reliable deployments.