Prashanth Thallapelli

Background

About Prashanth Thallapelli

Azure Data Engineer | ETL & Cloud Solutions Specialist | CI/CD Expert As an experienced Azure Data Engineer, I specialize in designing and implementing modern data solutions that drive business insights and streamline processes. My expertise spans across Azure services like Data Factory, Databricks, Synapse, and Data Lake Store, enabling me to develop robust ETL pipelines and scalable data architectures. I have a proven track record of optimizing data workflows, reducing query times, and ensuring real-time data integration through Azure PaaS, Spark, and machine learning techniques. With a strong foundation in data science and analytics (MS, University of Hertfordshire), I excel in data transformation, visualization, and cloud-based solutions for large-scale data processing. My experience with CI/CD, Azure DevOps, and agile methodologies ensures seamless deployments and continuous improvement of data systems. I thrive on collaboration, leading cross-functional teams, and delivering data solutions that enhance decision-making and operational efficiency. I am passionate about leveraging technology to solve complex business problems and drive innovation in the data engineering space. Key Skills: Azure Data Factory, Databricks, Synapse, ADLS, Azure DevOps SQL, Python, Spark, Power BI, ETL Processes CI/CD Pipelines, Docker, Jenkins, GitLab Data Warehousing, Snowflake, Hadoop, Cloud Solutions (Azure, AWS) Machine Learning, Predictive Analytics, A/B Testing Career Highlights: Currently leading end-to-end data engineering projects at Lloyds, UK, where I architected data pipelines that reduced ETL processing time by 30%. Designed and implemented scalable data models and solutions that reduced query execution time by 40% for complex datasets. Strong experience in creating CI/CD pipelines to deploy Azure data solutions and maintaining system reliability through continuous integration. Delivered business intelligence solutions that enhanced decision-making, utilizing advanced data visualization tools like Power BI.