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 Reporting and Compliance Dashboard accessed by 100+ stakeholders.• 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 monitoring.• 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 accuracy by 30%.• 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 departments. Ensured audit readiness and regulatory compliance using JIRA for project tracking and delivery

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 analytics and machine learning by processing 2M records daily.• 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 data-driven decision-making.

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 processing time by 40% and enhancing data availability for real-time insights.• 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 for efficient storage and relational database management.• 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 issue resolution.

Master Of Science - Ms, Engineering Data Science

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