- π» Data Engineer | Building AI-Enabled Data Pipelines
- π MS, BE (Software Engineering)
- π‘ Boston, MA
Data pipelines that power analytics and AI -- connecting diverse sources (platforms, APIs, databases) to cloud data warehouses with modern ELT architecture.
- π€ AI-enabled data pipelines with RAG capabilities for intelligent data transformation
- π Various platforms β Snowflake integration using Microsoft Graph API & modern orchestration
- π Enterprise data integration platform evaluation (Fivetran, Airbyte)
- π Building resilient data infrastructure for analytics teams
Data Engineering
core: dbt | python | sql | postgres
orchestration: Airflow | Dagster | Kafka
platform: Snowflake | AWS | Databricks
integration: Fivetran | Airbyte | Microsoft Graph API
AI/ML & Modern Data
ai: LangChain | RAG | vector databases | OpenAI API
architecture: ELT/ETL pipelines | data modeling | streaming
Infrastructure & DevOps
tools: Git | GitHub Actions | GitLab | Docker | Kubernetes | Terraform
cloud: AWS (various services)
Other Technologies
databases: MongoDB | PostgreSQL
web: TypeScript | Node.js | React | JavaScript | Next.js | Angular
π« LinkedIn



