Rai S.

With a strong foundation in Mathematics, Data Engineering, AI, and Cloud Technologies, I specialize in designing and implementing 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐝𝐚𝐭𝐚 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬, and 𝐜𝐥𝐨𝐮𝐝-𝐧𝐚𝐭𝐢𝐯𝐞 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬. My expertise lies in SQL, Python, Spark-hadoop architecture, Databricks, GCP, AWS, and MLOps enabling businesses to unlock insights, optimise performance, and drive AI-powered innovation. I led data teams, with agile work management, driving strategic data initiatives through mentorship, stakeholder collaboration, budget optimization, and a strong commitment to Equality, Diversity, and Inclusion (EDI). 🔹 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Architected end-to-end data solutions, including 𝗦𝗤𝗟 𝗦𝗲𝗿𝘃𝗲𝗿 to 𝗕𝗶𝗴𝗤𝘂𝗲𝗿𝘆 and 𝗧𝗲𝗿𝗮𝗱𝗮𝘁𝗮 to 𝗦𝗽𝗮𝗿𝗸-𝗵𝗮𝗱𝗼𝗼𝗽 architecture migrations, ETL/ELT pipelines, and real-time data processing 🔹 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Built ML models using AWS Sagemaker, Tensorflow, Vertex AI, Document AI, Jupyter notebooks for fraud detection, predictive analytics and Fair AI ensuring transparency, data compliance and ethical AI adoption in data lifecycle management 🔹 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: Engineered cost-optimised, high-performance data warehouses, leveraging Data Lake, Databricks, dbt, EMR, Dataproc, PySpark, Cloudera, Kafka, Tableau and Looker for BI solutions 🔹 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐃𝐞𝐯𝐎𝐩𝐬: Streamlined deployments with CI/CD (GitHub Actions, Terraform, Cloud Build), improving infrastructure scalability and security. 🔹 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 & 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧: Published research in 𝐩𝐫𝐞𝐬𝐭𝐢𝐠𝐢𝐨𝐮𝐬 𝐯𝐞𝐧𝐮𝐞𝐬 (𝐀𝐂𝐌, 𝐄𝐥𝐬𝐞𝐯𝐢𝐞𝐫) on AI fairness, fraud detection, and intelligent systems. I thrive at the intersection of 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲, 𝐩𝐫𝐨𝐛𝐥𝐞𝐦-𝐬𝐨𝐥𝐯𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐢𝐦𝐩𝐚𝐜𝐭, turning complex data challenges into efficient, scalable, and AI-driven solutions. If you're looking for someone to 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐲𝐨𝐮𝐫 𝐝𝐚𝐭𝐚 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞, 𝐬𝐜𝐚𝐥𝐞 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬, or 𝐦𝐢𝐠𝐫𝐚𝐭𝐞 𝐭𝐨 𝐭𝐡𝐞 𝐜𝐥𝐨𝐮𝐝—let’s connect!