Madiha Khalid is an experienced data engineer who works as a Fractional Data Engineering Lead. Her role is to help startups build their data platforms at different stages, and she has a particular soft spot for early-stage companies: she inspires founders to recognize the potential of data platforms in the age of AI, before technical debt makes those foundations expensive to fix. She is currently helping an early-stage startup manage and lead a scalable end-to-end data platform that integrates AI and ML models in preparation for launch.

Madiha has spent the last ten years building performant, trustworthy, and reliable data platforms. That work includes data warehouses and data lakes for companies such as Jimdo, Eurecat, and Jazz (Telecom Enterprise), spanning different industries, regulatory environments, and scales. Ten years of production experience have taught her that good data engineering is less about fashionable tools and more about platforms that teams can actually trust.

Madiha is also a mentor for aspiring engineers, with a focus on empowering fresh graduates and juniors, especially women, to kick-start their careers in engineering. She combines deep platform experience with a genuine commitment to helping the next generation of data engineers grow.