Revathi Batchu

About Revathi Batchu

With over five years of experience as a Data Engineer, Data Analyst, and BI Developer. I am a data-literate and insights-driven professional who specializes in developing innovative solutions for stakeholders in near-real-time intervals. With a strong background in Azure, SQL, ETL, and analytics, I have a proven track record of delivering tangible results. I have successfully designed and implemented robust data solutions for diverse business needs that have improved data processing efficiency by over 50% and reduced time-to-insights by 40%. Proficient in Azure services such as Azure Data Factory, Azure SQL Database, and Azure Analytics, I excel at developing scalable ETL pipelines, optimizing data workflows, and creating interactive visualizations enabled organizations to handle large-scale data volumes, resulting in a 30% increase in data processing capacity. I am experienced with Spark Stack, Data bricks, Microsoft Power BI, Airflow, Azure DevOps, and Hadoop. I have worked to enable CI/CD utilizing Azure Pipelines and package management with Azure Artifacts for build/release management. As a developer, I have vast expertise collaborating with cross-functional teams to provide end-to-end data solutions utilizing multiple on-premises and cloud-based frameworks and tools. My expertise lies in data modeling, performance tuning, and transforming complex data into actionable intelligence.

Experience

1. Software Developer

   Infodat

   Jul 2023 — Present · Houston, TX, US

   Designed and implemented a data management system using Airflow, Python, and SQL to handle data efficiently.• Developed dynamic DAGs in Airflow for scalable and flexible workflow management.• Optimized SQL queries and Python scripts to improve data processing speed and system performance.• Automated data pipeline processes and established rigorous monitoring to ensure data accuracy and integrity.• Used Python for parsing and analyzing business datasets within Airflow tasks, including data reconciliation, validation, and quality checks, and refined data request processes to enhance data enrichment.• Developed a dashboard using Python visualization libraries (e.g, Matplotlib, Seaborn) to present insights and metrics derived from the health data, enhancing decision-making for healthcare providers.• Enhanced incremental data load handling by implementing Delta Tables in Spark via Airflow orchestration, achieving a 25% reduction in compute resources.• Utilized Airflow and Python to design data governance reports, streamlining the development of data pipelines and ensuring data quality and integrity during transfers.

Education

• University of Houston

  Master's degree, Computer Science

• Osmania University

  Bachelor of Engineering - BE, Computer Science