Dhanush Gowda
@dhanushgowdarl
Data Engineer at IBM India Pvt Ltd (Client: Heineken)
Bengaluru, Karnataka, India
Dhanush Gowda RL is a Data Engineer with expertise in Python and building scalable AI/ML systems on Azure using Spark, Databricks, and Delta Lake. He has extensive experience designing production-grade data pipelines that power machine learning workflows and Agentic AI applications. Currently at IBM, he focuses on optimizing end-to-end data ingestion and implementing multi-layered data lake architectures. He holds a B.E. in Computer Science and Engineering and is certified in Databricks and Azure Data Fundamentals.
Experience
Data Engineer
IBM India Pvt Ltd (Client: Heineken)
Designed and optimized end-to-end data pipelines using Azure Data Factory to ingest, transform, and orchestrate structured and unstructured datasets. Developed distributed data processing workflows using Databricks + Apache Spark (PySpark). Implemented Delta Lake based multi-layered data lake architecture (Bronze, Silver, Gold). Automated data validation, monitoring, and error-handling frameworks. Collaborated with data scientists to operationalize ML models and contributed to CI/CD workflows through Azure DevOps.
AI/ML Intern
Inflow Technologies
Built predictive models using XGBoost and Linear Regression to estimate calorie expenditure. Performed feature engineering and data preprocessing for model training and evaluation. Gained practical exposure to machine learning workflows, dataset preparation, and performance tuning.
Education
SJC Institute of Technology (VTU)
B.E.
Computer Science & Engineering
Licenses & Certifications
Databricks Certified Data Engineer Associate
Databricks
Databricks Certified Associate Developer – Apache Spark
Databricks
Microsoft Certified: Azure Data Fundamentals (DP-900)
Microsoft
Prompt Engineering Certification
IBM Developer Skills Network