At Icertis, I design data lake and lakehouse architectures on AWS S3 and Snowflake to centralize contract metadata for enterprise analytics. I also develop Spark and Python pipelines that transform contract data for machine learning.
I implement real-time contract event ingestion with Apache Kafka and AWS Kinesis, and configure Amazon Redshift for contract performance reporting. I use AWS Lake Formation and CloudWatch to support data governance, security, and observability.
At Persefoni, I built data ingestion and transformation pipelines for sustainability data, including GHG emissions, and maintained Snowflake models for reporting. In my Aspira AI project, I built recommendation pipelines and prototyped a GenAI retrieval layer.
