Mudunuri Nikhil Varma

Experienced professional with over 2 years of expertise in PySpark, Python, Machine Learning, and data warehousing. Strong command over PySpark for big data processing and analysis. Proficient in developing and maintaining data warehouse solutions. Skilled in Python programming for data manipulation and analysis, with a sound understanding of ETL processes and data modeling. Adept at optimizing and troubleshooting data processing workflows for enhanced efficiency and performance. Seeking opportunities to leverage skills and contribute to driving impactful data-driven decisions.

Real-time Indian Stock Data Analysis Using Spark Streaming.

• Built a real-time data pipeline for Indian stock market analysis.
• Utilized PySpark for distributed data processing.
• Managed workflows using Databricks Workflows and Azure Data Factory (ADF) for reliable job scheduling.
• Created interactive visualizations using Power BI to analyze stock market trends.
• Trained machine learning models using PySpark MLlib to predict stock price trends.
• Applied algorithms such as Linear Regression, Logistic Regression, and Decision Trees for trend forecasting.
• Implemented Azure Event Grid for real-time data streaming from APIs.
• Employed Delta Tables for efficient data storage and versioning.
• Performed data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.

2 Years 1 Month