Vijay Bhaskar Reddy
Data Engineer @EY
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WORK HISTORY
Data Engineer @EY
Hyderabad, IN
AMERICAS AUDIT ANALYTICS:The goal is to build an automated data pipeline in Azure Databricks to process and transform data from various Report, this will provide a comprehensive Audit reports for stake holder and business. 1.Engineered robust ETL workflows with Python, SQL, and PySpark to enable seamless extraction, transformation,and integration of data across diverse sources, achieving a 15% improvement in data processing efficiency.2.Designed and implemented SCD Type-2 pipelines to maintain historical data integrity and developedGold Layer dimension and fact tables to support complex analytics and reporting, enhancing data accessibility forbusiness users.3.Built and maintained CI/CD pipelines in Azure Databricks to automate deployment processes, streamlinetransitions between environments, and ensure complete version control for all data workflows, improvingdeployment efficiency and Conducted root cause analysis on critical data quality issues, implementingsolutions to improve reliability and ensure accuracy for analytics.Tech Stack: Azure Databricks, IBM ENVIZI, Azure ADLS, Azure SQL Database
EDUCATION
GITAM Deemed University
Master of Technology - MTech, Data Science and Data Engineering
KG Reddy College of Engineering and Technology
Bachelor of Engineering - BE, Computer Science
ABOUT VIJAY BHASKAR REDDY
Results-oriented Data Engineer with over 4 years of extensive experience in building and automating data pipelines, specializing in Azure Databricks and ETL processes. Proven expertise in optimizing data workflows using Python, SQL, and PySpark, leading to significant improvements in efficiency and data processing. Demonstrated success in transforming and migrating ETL infrastructures for enhanced scalability and agility. Skilled in designing robust data architectures, managing CI/CD pipelines, and enhancing data accessibility for analytics. Proficient in leveraging cloud-native solutions such as Azure Data Lake and Snowflake to ensure data integrity and support critical business insights. Excited to contribute to innovative data solutions and drive organizational success.
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