Venkata Vikas Bachiraju

Mar 2023 – Present

• Developed Python-based data processing and automation solutions to modernize legacy ETL workflows, improving batch processing performance by approximately 30%.
• Built scalable Python and PySpark applications for large-scale data transformation, processing, and integration within the Hadoop ecosystem.
• Developed Python automation scripts for workflow orchestration and job scheduling, supporting the migration of legacy scheduling processes to Autosys.
• Automated data validation, testing, and deployment activities using Python, significantly reducing manual effort and improving operational efficiency.
• Created Python utilities to automate data migration between multiple environments, reducing a recurring monthly process from 8 hours to approximately 1 hour across 60+ database tables.
• Developed reusable Python modules for ETL validation, data reconciliation, and reporting, ensuring high data quality and consistency.
• Wrote optimized SQL queries and integrated Python applications with Teradata, Oracle, and Hive for efficient data extraction, transformation, and loading.
• Managed large-scale enterprise data processing involving over 1,600 database tables and 45,000+ columns across APAC and EMEA regions.
• Performed application debugging, performance tuning, and root cause analysis to improve reliability and stability of production data pipelines.
• Collaborated with data engineers, business analysts, QA teams, and stakeholders in an Agile environment to deliver high-quality software solutions.
• Served as the primary point of contact for production support and release activities, ensuring timely resolution of issues and uninterrupted business operations.
• Maintained source code using Git, prepared technical documentation, and followed coding standards and best practices throughout the software development lifecycle.