Adithya Bhat

At Cloudwick, I build AWS data platforms that improve governance, freshness, and reporting scale. I reverse-engineered Power BI transformation logic into an AWS Glue semantic layer and reduced a daily Glue Python shell ETL from 10 minutes to 1 minute for 26 downstream reporting views.

I've led Oracle-to-Redshift migrations using AWS DMS, including daily CDC replication for large critical tables, and designed event-driven ingestion with S3, SQS, DynamoDB, and Apache Iceberg. I also migrated Excel reporting workflows to Redshift Materialized Views for scalable Tableau dashboard consumption.

Earlier at Accenture, I converted legacy SAS and Ab Initio workflows to PySpark for Databricks and cloud environments, built data-quality frameworks for R&D models, and delivered Hadoop, Hive, and Snowflake ingestion pipelines.

I'm also a hands-on technical mentor, supporting a seven-member data engineering team through architecture decisions, PySpark and Apache Iceberg knowledge-sharing, and reusable Python utilities that eliminate manual work.