PAVAN KUMAR RASINENI

Data Center Management: Oversaw the operations of physical and virtual data centers, ensuring high performance and reliability.
Client Collaboration: Worked with RWE Supply and Trading, a leading German client, to provide seamless data center solutions.
Technical Proficiency: Utilized VMware vSphere and vSAN to enhance data centre efficiency and performance.
Automation and Scripting: Developed scripts to automate health checks for VMware servers and facilitate the creation of virtual machines, significantly improving operational efficiency.
Cross-functional coordination: Collaborated with storage and network teams to ensure server connectivity and integration, enhancing infrastructure stability.
Project Oversight: Employed Jira to track daily updates and tasks and optimise project workflows and communication.

Project Overview: Developed a comprehensive data pipeline to analyze housing market trends and predict future property values, providing insights for real estate investors and urban planners.
Data Extraction: Utilized Informatica to extract housing data from multiple online sources, including real estate listings, public records, and market reports, ensuring a robust and diverse dataset.
Data Processing: Employed PySpark to process and transform large volumes of data, performing data cleansing, feature engineering, and enrichment to ensure accuracy and consistency.
Workflow Orchestration: Implemented Apache Airflow to automate and schedule data extraction and processing tasks, enabling efficient data integration and regular updates.

Data Storage: Used AWS S3 for intermediate data storage and loaded processed data into Amazon Redshift for structured storage, enabling advanced querying and analysis.
Database Management: Utilized SQL to manage and query data within Redshift, optimizing performance for efficient retrieval and analysis of housing market trends.
Statistical Analysis: Imported machine learning functions to compute key statistical measures such as mean, variance, and standard deviation to assess housing market data and trends.
Data Visualization: Created interactive dashboards using Power BI to visualize market trends, price distributions, and statistical insights.