• Implemented Data Lake and ETL Pipelines in Azure, defining a new cloud architecture to address gaps in Cloudera and Microsoft SQL Server Data Warehouse, managing 10+ million records for big data needs.• Designed SQL queries gathering data from various sources which streamlined data processing, and retrieval for the client.• Developed complex Dashboards and visualizations using Power BI, and Excel, reporting health care claims and other data.• Automated ETL data loads into SSAS Cubes via Visual Studio and SSIS reducing processing and reporting time by 40%.• Collaborated with cross functional teams to streamline the development-to-deployment pipeline using Agile Methodologies and successfully tackled tasks such as resolving existing bugs and introducing new features utilizing the JIRA platform.

• Implemented advanced network packet capture and classification techniques using libpcap (C++) and Wireshark on Linux, effectively organizing and categorizing incoming data into OSI layers and other relevant parameters.• Developed a Machine Learning model in Python to predict incoming network attacks, contributing to improved network security measures.