Sammy El Khammal

- Advised and conducted audits for clients, embedding data observability practices to improve anomaly detection and data reliability. - Developed custom observability frameworks, enabling data teams to proactively identify data issues and enhance data quality - Guided clients through end-to-end implementation of observability strategies, from needs assessment to deployment, ensuring alignment with their data goals. - Introduced best practices and trained teams on observability tools and methodologies, strengthening clients’ data governance and trust in their data pipelines.

- Strong focus on data engineering; Developed the Kensu Data Platform from the ground up on Databricks, with features tailored for detecting anomalies in time series data. - Contributed to the development of the Kensu Hub, a set of collectors for data observability designed within an Airflow architecture. - Led the product roadmap, prioritizing enhancements that directly addressed user needs and positioned the platform as a leading tool in data observability. - Established processes for collaboration with development and sales teams, ensuring efficient integration of user feedback to refine the platform, enhance usability, and deliver functionality within the constraints of a startup environment.

- Successfully led client projects to implement data observability solutions, customizing the Kensu product to meet unique client environments and business requirements. - Developed observability agents for data manipulation libraries in Python and R, automating and enhancing data quality monitoring capabilities for clients. - Provided hands-on training and support to client teams, ensuring seamless adoption and fostering long-term success in data monitoring practices.