Lakshmi Kanth Vemula

Senior Cloud Data Engineer with around 10 years of experience building scalable data platforms, cloud-native data pipelines, and modern analytics solutions. Experienced in designing end-to-end ELT/ETL pipelines, data lakes, and lakehouse architectures on cloud platforms including AWS, and Azure. Skilled in modern data technologies such as Databricks, Snowflake, SQL, Pyspark, and Python with strong expertise in distributed data processing, data modeling, and workflow orchestration. Experienced in integrating Generative AI capabilities into data platforms, including making API calls to OpenAI models to generate automated insights, summaries, and AI-powered analytics solutions. Earlier experience includes enterprise on-premises data warehousing and BI solutions (MSBI, Tableau and PowerBI), providing a strong foundation in data architecture and analytics systems. Passionate about building scalable, reliable data ecosystems that combine modern data engineering with AI-driven insights.