Srinivasarao Panguluri Email & Phone Number

Houston, TX, US

United States

• Developed real-time data ingestion pipelines using Kafka and Apache NiFi, integrating AWS Lambda for serverless processing to streamline data flow, reducing latency by 35% and ensuring immediate updates to a Financial.
• Optimized storage of 10TB+ financial datasets using HBase for diverse data storage, AWS S3 for raw data, and AWS RDS for structured data, reducing data retrieval times by 40% and enabling real-time compliance reporting.
• Engineered data workflows with Hadoop and Apache Spark to process and transform over 1M financial records daily, leveraging Pandas and NumPy to improve data processing efficiency by 25% and support critical compliance.
• Implemented machine learning models, including Isolation Forest, to detect anomalies with 95% accuracy, while enhancing SQLbased insights with Apache Hive, JOINs, and window functions to improve compliance reporting.
• Designed interactive dashboards with AWS QuickSight, enabling visualization of financial KPIs and empowering decision-makers with real-time insights, contributing to a 20% increase in data-driven decisions across.

Hyderabad, Telangana, India

• Designed and implemented a scalable data lake on GCP using Cloud Storage, managing over 5 TB of structured and unstructured data to enable efficient retrieval and analysis across multiple organizational projects.
• Developed real-time data ingestion pipelines with Apache Kafka and Zookeeper, processing 10,000 events per second, and implemented batch processing using Hadoop MapReduce with HDFS, ensuring high-quality datasets for.
• Optimized query performance by 40% through advanced SQL techniques, utilizing Hive for SQL-based querying of large datasets stored in HDFS, which enhanced reporting capabilities and supported complex data analysis.
• Established a robust data governance framework with HBase for metadata management, improving compliance and data discovery for 50+ analysts and enabling impactful dashboards in Power BI that drove a 30% increase in.

Hyderabad, Telangana, India

• Designed and optimized scalable ETL pipelines using Apache Airflow, integrating diverse data sources into a Snowflake-powered data warehouse to process and analyze over 2 million transactions daily, reducing ETL.
• Developed and deployed high-performance data processing solutions leveraging Python, SQL, and Apache Spark, achieving a 30% reduction in data latency and a 25% improvement in query performance with AWS S3 and AWS RDS.
• Implemented a comprehensive data governance framework using Apache Atlas for metadata management and Prometheus for pipeline performance monitoring, ensuring compliance, improving data discovery, and enabling proactive.

Master Of Science - Ms, Engineering Data Science

Bachelor Of Technology - Btech, Electronics And Computer Engineering, First Class