Aaqib Mukhtar

Intro

I'm an experienced IT professional with years of experience in big data technologies and software development. My career has equipped me with hands-on expertise in a wide range of technologies, including SPARK, HIVE, IBM BigSQL, RANGERS, RANGERS KMS, KNOX, JAVA, Java Spring Boot, Drupal, JQuery (Ajax), MySQL, JavaScript, HTML, Linux, GIT, and AWS Glue. Throughout my career, I have delivered impactful big data projects for prominent organizations such as Etisalat Dubai, Vodafone Qatar, and Riyad Bank. My work involves developing, processing, and analyzing large datasets using advanced tools like SPARK and HIVE, enabling these businesses to gain actionable insights and improve strategic decision-making. My experience with AWS Glue has allowed me to design and implement robust ETL (Extract, Transform, Load) processes for large-scale data integration and transformation tasks. This expertise complements my proficiency in AWS technologies and services, enhancing my ability to create scalable, efficient data solutions. I also specialize in Java Spring Boot, where I have designed and implemented efficient, high-performance applications. My expertise in web development extends to Drupal, JavaScript, and HTML, while my familiarity with MySQL, GIT, and Linux further enhances my ability to deliver robust, high-quality solutions. In recent years, I have expanded my expertise into Generative AI (Gen AI) and Agentic AI, exploring how intelligent agents and large language models can be integrated into enterprise data ecosystems. My focus includes designing AI-powered data pipelines, developing agentic automation frameworks, and leveraging foundation models for tasks such as data enrichment, insight generation, and workflow orchestration bridging traditional big data engineering with the emerging world of cognitive and autonomous systems. My strengths include problem-solving, strong communication, and a collaborative approach that promotes teamwork and project success. I'm passionate about driving innovation, AI adoption, and data-driven efficiency in the IT industry and continually seek new challenges and growth opportunities.

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