Ramanakar Reddy Danda is a highly accomplished IT professional with a distinguished 18- year career. He has held key positions at industry-leading organizations such as BearingPoint, CSC, IBM, Infosys, BlueCross, and CNH. He possesses deep expertise in areas including Cloud Data Solutions, Data Engineering, AI and ML technologies, Data Streaming, and Data Integration. A seasoned IT architecture and technological innovation leader, Danda excels at driving business transformation through advanced data science and analytics. With a strong focus on enhancing business processes and leveraging cutting-edge technologies, he has earned multiple cloud certifications and honed advanced skills in AI & ML. His contributions to the field are further exemplified by holding four patents and over 22 research papers. A dedicated mentor, Danda has also written numerous books and actively participated in industry events, underscoring his passion for advancing technology and fostering the next generation of IT leaders
Venkata Krishna Azith Teja Ganti is an IT professional with over 8 years of expertise in Big Data technologies and Java-based enterprise applications. Skilled in the full software development lifecycle, he has worked across industries like financial services, education, and product sectors. Azith is proficient in Hadoop architecture, including Hive, YARN, Spark, and HBASE, and has hands-on experience with Cloudera, Hortonworks, and Azure HDInsight. With deep knowledge of Azure technologies such as Data Factory, Synapse Analytics, and Stream Analytics, he excels in designing and managing complex data solutions. His expertise in cluster management and problem-solving ensures innovative, efficient results.
Chandrashekar Pandugula an IT professional with 9 years of experience specializing in Big Data, distributed systems, and AI-driven healthcare solutions. Currently a Sr. Data Engineer at Lowe’s, I design and optimize data architectures to support seamless business operations. Previously, at CVS/Aetna and BCBSMA, I implemented cloud and big data frameworks to enhance healthcare analytics and patient data processing. At VISA, I developed secure, highperformance data platforms for global payments. Proficient in Hadoop, Spark, and cloud platforms like AWS and Azure, I excel in building ETL pipelines and AI-driven systems, transforming real-world challenges into innovative solutions.