Vishwanadh Mandala is a distinguished IT Enterprise and Data Architect, as well as a leader in Data Engineering, bringing a wealth of experience as a seasoned IT professional. With a versatile skill set, he holds the title of Multi-cloud certified Architect and is an AI Enthusiast, accumulating two decades of expertise in the IT industry through notable roles at Accenture, IBM, Oracle, Ciena, and Cummins.
Educationally, Vishwanadh holds a B Tech in Computer Science & Engineering and an M Tech in Computer Science Engineering from esteemed government universities in India. His academic journey extends further with a second Master's degree (MS) specializing in Data Science from Indiana University, USA.
A fervent advocate for advancing the strategic goals of contemporary IT enterprises, Vishwanadh focuses on accelerating business capability delivery through advanced analytics. Recognizing the pivotal role of data science, he actively contributes to its growth through projects, academic pursuits, research papers, technical gatherings, conferences, and community engagement.
Vishwanadh's commitment to innovation is evident in his professional journey, reflected in numerous research papers and three patents for inventive solutions. Beyond his professional pursuits, he dedicates his time to providing free mentorship sessions to schools and colleges in India, passionately enlightening college students on cutting-edge technologies in data and integration.
His notable inventions in IoT-based medical devices, including IoT-enabled thermometers and stethoscopes, hold significant value for governments monitoring fever-tracking trends, blood pressure, and diseases in rural areas.
In addition to his technical prowess, Vishwanadh actively contributes to society by empowering students to make informed career choices through annual student scholarships. His multifaceted expertise, coupled with a commitment to technological innovation and social impact, underscores his substantial contributions to the IT and broader community.
Big data Management
Data Engineering in AWS, Azure, and GCP
Data Engineering with Azure data bricks
AI/ML Development
Data Engineering with Snowflake and Azure Data bricks
Data Governance, Data Modeling, ETL Development and Data Analytics
NoSQL databases, Graph Databases, and RDBMS
API and Integration Developments
Leadership, Delivery, Support, Automation, and DevSecOps in Data engagements
Snowflake, Azure data bricks, python, DBT, Fivetran, Striim, Kafka,Qlik, ADF,Scala, Java ,matillion,app works, apache airflow,mule soft,spring,aws lambda, groovy,
Google scholar Profile : https://scholar.google.com/citations?user=MuSd2ycAAAAJ&hl=en&authuser=2