Sagar P Gowda — Data Engineer
I build scalable data platforms and intelligent, AI-driven applications on Azure Databricks. My focus goes beyond pipelines. I design high-performance Lakehouse systems and develop smart applications that automate workflows, monitor data health, and improve engineering productivity. What I work on: • Designing scalable Bronze–Silver–Gold architectures • Managing and optimizing large-scale Delta tables • Building efficient history and incremental load frameworks • Improving runtime performance and reducing infrastructure costs • Implementing governance and best practices using Unity Catalog AI & Application Work: • Building data-driven apps inside Databricks • Developing AI-powered assistants for table insights and metadata analysis • Creating prompt-driven agents that reduce manual effort • Integrating LLM-based solutions securely with enterprise data • Designing automation frameworks for monitoring and validation I enjoy turning complex data ecosystems into intelligent, automated platforms that drive faster decisions and real business impact. Always exploring the intersection of Data, AI, and scalable platform engineering.
Stackforce AI infers this person is a Data Engineering expert specializing in AI-driven applications within the SaaS industry.
Location: Bengaluru, Karnataka, India
Experience: 5 yrs 3 mos
Skills
- Azure Databricks
- Data Engineering
- Artificial Intelligence (ai)
Career Highlights
- Expert in building scalable data platforms on Azure Databricks.
- Proficient in designing high-performance Lakehouse systems.
- Skilled in developing AI-driven applications for data insights.
Work Experience
HP
Data Engineer (3 yrs 5 mos)
Accenture
Data Engineering Associate (1 yr 10 mos)
Education
Bachelor of Engineering - BE at Dr. Ambedkar Institute Of Technology