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Lead a team to design and build scalable data platforms and warehouses using Snowflake, AWS/Azure, and Databricks, guiding clients from discovery to delivery.
Lead a team of 7 data engineers to build and automate high-volume ETL/ELT pipelines for a major bank using Informatica IDMC, Python, and AI-driven tools while ensuring cloud modernization and compliance.
Lead a team to build and optimize large-scale data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift, ensuring performance, quality, and security.
Lead the design and operations of RAKBANK’s enterprise data platform using Databricks, Azure Data Factory, and Kafka to power real-time analytics and regulatory reporting.
Architect and lead production data pipelines and databases, syncing Salesforce data into Aurora/Postgres and optimizing database performance for a fintech company.
Lead a team to design and build scalable data pipelines and infrastructure for AI applications, focusing on vector search and RAG systems using Python, SQL, ETL, NoSQL, and Kubernetes.
Lead a team to design and maintain scalable data pipelines for AI/LLM systems, including vector search, RAG, and semantic retrieval, ensuring high-performance enterprise data infrastructure.
Design and optimize an enterprise-grade data platform to ensure reliable, accessible data for analytics and reporting in a logistics company.
Lead a team to build and maintain a modern hybrid data platform using Azure and Databricks, ensuring solutions meet business needs.
Lead a team to design, build, and scale a next-gen data platform on Azure and Databricks, ensuring high performance, security, and mentorship for peers.
Build and maintain Azure-based data lakes and production pipelines using PySpark, SQL, and Python to support analytics and digital transformation.
Lead a team to design and maintain scalable data pipelines using Databricks, DBT, and Airflow for reliable analytics and self-service BI.
Lead the architecture and operations of data pipelines, integrations, and databases, ensuring high performance and reliability for a fintech platform.
Lead a team to design, build, and maintain a reliable data platform using Databricks, DBT, and Airflow for analytics and self-service BI across the GAC Group.
Design and build scalable industrial data pipelines using Python, SQL, and distributed systems to integrate and process large-scale operational data for critical industries.
Lead a team to design and implement data engineering pipelines and PowerBI solutions while driving AI-driven transformation projects in a multicultural environment.
Lead a team to build and maintain data pipelines, models, and processing systems using Snowflake and CI/CD, driving the company’s Data & AI transformation.
Lead a data-platform migration to Databricks, building scalable pipelines with Spark and Python for a modern analytics stack.
Lead a cloud data platform team to design, deploy, and operate a robust, secure, and scalable data infrastructure using Kubernetes, Terraform, Helm, and CI/CD pipelines.
Lead a team building and maintaining data pipelines and datasets for clients using modern cloud platforms like GCP and AWS.
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