About

I am a seasoned Data Engineer with cross-industry experience, specializing in Data & Analytics, Cloud Technologies, and Infrastructure as Code. I design and build scalable, cloud-native data systems that deliver timely, reliable, and consistent insights. I have led complex legacy data migration projects to modern cloud platforms, significantly improving data integrity and performance.

As a versatile technical leader, I navigate both AWS and Azure ecosystems. In AWS, I work with services such as Redshift, Glue, S3, Bedrock, DynamoDB (including Vector Search), and Databricks. In Azure, I leverage Synapse Analytics, Azure Databricks, Data Lake, and AKS.

I bring a strong foundation in Spark, PySpark, Python, and SQL, along with DevOps/MLOps expertise using Terraform, AWS CDK, Helm, and Docker. I ensure quality and reliability with testing frameworks like PyTest and Behave.

In the LLM and Generative AI space, I design intelligent, search-enabled solutions using LangChain, LangSmith, Pinecone, and Amazon Bedrock, integrating vector databases and prompt orchestration pipelines to deliver production-ready AI experiences.