Gangadhara Boranna is an experienced Analytics Data Architect with over 18+ years of consulting experience and has a strong data background and has designed and built multiple analytics solutions. Mr. Boranna specializes in solving advanced analytics challenges and has helped organizations understand data complexity and develop data engineering pipelines for AI/ML solutions. Boranna is skilled in failure predictive models, recommendation engines, crowd management, safety score engines, smart city platforms, and production forecast models.
Mr. Boranna is a thought leader and has led solution deployment teams in various aspects of analytics solution development. Boranna possesses strong problem-solving and ownership skills and is knowledgeable in data engineering, dimensional modeling, and programming languages such as PL/SQL, PySpark,Java, and Python.
Also experienced in working with Pentaho Stack, AWS, and big-data technologies. By utilizing his expertise in advanced AWS analytics services, he has optimized project performance and implemented Delta Tables to enhance data storage and processing efficiency.
Data Engineering, Dimensional Modeling, Data Pipelines and ML/Ops
PL/SQL, Java, JavaScript, Py spark and Python
DMS, Glue, Glue Catalogs, Spark, EC2, SageMaker, Redshift, S3, Lambda, Data Catalog, Kafka, and Spark Streaming, Data Bricks
AWS Analytics Stack,Data Brics,Apache Spark, PCF Cloud foundry Stack, Streaming Platform Kafka, AI/ML Ops, Talend, Pentaho Data Engineering stack and Micro Services architecture.
Data Engineering, Data Pipelines, Dimensional Modelling OLAP, ETL, MDM, DQ