At Inovexus, Abdul works as a Data Engineer and Data Analyst, owning the full data pipeline end to end. His work spans everything from sourcing and collecting raw data to centralising it, building the infrastructure that keeps it clean and reliable, and turning it into analysis that informs business decisions.
If data moves through Inovexus, Abdul has probably had a hand in how it flows. Before joining Inovexus, he spent three years as a Product Manager and Data Owner at S&P Global, where he managed a financial data product serving 500+ enterprise clients across Snowflake, AWS, and Azure. He led a large-scale cloud migration, built real-time monitoring dashboards, and managed the analytics layer that kept the product running reliably at scale.
He is currently finishing his MSc in Business Intelligence and Analytics at Clermont School of Business, which has strengthened his foundation in data modelling, machine learning, and decision systems. His undergraduate background is in Electrical Engineering, where he first developed his systems-thinking approach.
Professionally, Abdul is focused on building data infrastructure that people actually rely on rather than data that sits in a dashboard nobody opens. He has also built agentic AI pipelines, on-chain analytics tooling, and end-to-end BI systems outside of work, keeping him close to what is possible when strong engineering is combined with a product mindset.
Outside of data, Abdul follows sports obsessively, especially football and cricket. He also enjoys reading and exploring new cities through their cuisines.
