Chinnolla Sathvik Reddy User

Collaborated with business users to gather and document evolving requirements, ensuring alignment with project goals. Developed complex Spark applications using Scala and migrated MapReduce programs to Spark for optimized processing. Leveraged Python and PySpark in Azure Databricks to build Spark scripts, implementing data quality checks to enhance processing time.

Led requirements gathering, analysis, design, development, change management, and deployment to ensure cohesive project execution. Developed Spark scripts with Scala shell commands for data cleansing and testing, and created Spark streaming pipelines for real-time data batching, anomaly detection, and integration with HBase. Engineered Spark applications in Scala and PySpark for data validation, c

Gathered and analyzed business requirements, designing data products to meet user needs and streamline data solutions. Developed Spark applications in Scala for large-scale data transformations, denormalization, and data quality checks on relational datasets. Converted Hive and SQL queries into Spark RDD transformations using Scala, optimizing data processing workflows.

Collaborated with Business Analysts and SMEs across departments to gather requirements and identify actionable development items. Engineered Spark applications in Scala for enriching clickstream data by merging it with user profile data, enhancing data relevance. Developed maintainable and scalable Python and Scala code for data processing, analytics, and application needs, leveraging inbuilt libr

Pursued a Master of Science in Data Science. Gained expertise in data analysis, machine learning, and statistical modeling. Completed relevant coursework and projects in the field.