ENTERPRISE DATA SYSTEMS Technical Implementation and Support - SR ENGINEER

Padmaja Pulivarthy has over 10 years of IT experience and is proficient in Oracle, SQL Server, and Green Plum database management. He excels in optimizing queries, ensuring data integrity, and implementing scalable solutions. With experience in big data technologies such as Hadoop, Spark, and Kafka, he effectively processes and analyzes large datasets to drive actionable insights for strategic decision-making.

He is skilled in AWS cloud services, where he designs and deploys secure and scalable solutions leveraging EC2, S3, EBS, RDS, DMS, Amazon Inspector, and Lambda. His expertise extends to Python scripting for automation, data manipulation, and statistical analysis using libraries like Pandas and NumPy.

Padmaja is knowledgeable in artificial intelligence and machine learning algorithms, applying techniques such as regression, classification, and neural networks for predictive analytics and pattern recognition. He has a strong background in networking and storage across Unix, Linux, and Windows platforms, ensuring robust system architecture and performance optimization.

He leverages data science techniques to extract insights from complex datasets and applies machine learning algorithms for predictive modeling and pattern recognition, enhancing business intelligence. His expertise in AI methodologies enables him to automate processes and optimize system efficiency.

With experience in application development and deployment across various industries, including semiconductor, banking, pharmaceutical, and Wi-Fi internet, Padmaja is familiar with industry-specific challenges and compliance requirements, ensuring that his solutions meet both regulatory standards and business objectives.

Padmaja Pulivarthy specializes in semiconductor fabrication processes, ensuring high-quality production of integrated circuits and microchips for various applications.
With expertise in design, testing, and scaling production, he optimizes manufacturing efficiency and product reliability. In the Wi-Fi networking industry, he focuses on designing and implementing robust wireless communication solutions, ensuring seamless connectivity and network performance. His experience includes deploying Wi-Fi infrastructure for diverse environments, from enterprises to public spaces, enhancing user experience and operational efficiency.

He has partnered with a team of 10+ data second reduction in customer service response time. Conducting literature reviews on state-of-the-art AI/ML techniques, and contributed insights to research papers cited 60+ times in internal journals.

His contribution to the research findings of prestigious journals, advanced knowledge in the field of [ IT Information Technology ], and collaborated with peers to publish innovative research in recognized academic journals, contributed to the scientific community.