Prasanna A Email & Phone Number

I am a dedicated and experienced Data Engineer with over Five years of expertise crafting cloud-based data solutions, primarily on the Azure platform. My technical proficiency encompasses designing, developing, and deploying scalable and efficient data solutions utilizing big data technologies such as Apache Spark, PySpark, Hive, Hadoop, and HBase on Azure. My professional journey has equipped me with robust skills in data pipeline management, data integration, and data warehousing using services like Azure Data Factory, Azure Blob Storage, and Azure Databricks. I am adept in SQL and programming languages such as Python and Scala, which I use extensively for data manipulation, analysis, and transformation within cloud environments.In my current role at Amazon, I have been instrumental in developing ETL processes, integrating on-premises data with cloud solutions, and optimizing workflows through Apache Airflow. My tenure as a Data Analyst at AgFirst Farm Credit Bank and AKKO WW further honed my capabilities in Spark-based ETL workflows, Azure Data Factory, and advanced analytics with Tableau and Power BI.My academic background includes a Master of Science in Computer Science from the University of North Carolina at Charlotte, where I also gained hands-on experience as a Graduate Assistant. This role involved developing high-performance data ingestion pipelines, migrating ETL logic, and creating Power BI and SSRS reports.I thrive in Agile/Scrum environments, collaborating with cross-functional teams to gather requirements, design data models, and deliver actionable insights. My experience with containerization technologies like Docker and Kubernetes, along with infrastructure-as-code tools like Terraform, complements my data engineering expertise.I am passionate about leveraging data to drive business insights and am continually exploring new technologies and methodologies to enhance data processing efficiency and reduce latency. Let's connect if you're interested in discussing data engineering, cloud solutions, or potential collaboration opportunities!

• 

  University Of North Carolina At Charlotte

  4.0 Out Of 4.0