Hi, I'm Priyam 👋

Data Engineer & AI Engineer

Open to work

Data Engineer and AI Engineer with 4+ years of experience across financial services, healthcare, and consulting. I build the data pipelines, cloud warehouses, and AI systems that teams run in production, working across Spark, Airflow, dbt, Kafka, and Snowflake, with LangGraph and RAG on the AI side. I specialize in SQL-driven analysis, KPI development, and self-serve dashboards that support decision-making across acquisition, retention, and operational performance.

My work has consistently involved modernizing how teams access and use data, from migrating legacy workflows into structured data models to building reliable pipelines and analytical layers that teams can trust and build on.

I've owned data work end-to-end, from requirements and data modeling through to production and stakeholder reporting, across product, client-facing consulting, and clinical research.

Tech Stack

LanguagesPython (PySpark, FastAPI, pandas), SQL, Bash
Data EngineeringSpark, Databricks, Airflow, dbt, Kafka, Delta Lake, Parquet, ETL/ELT, Kimball / Star Schema, Great Expectations
Databases & WarehousesSnowflake, Amazon Redshift, BigQuery, PostgreSQL, MySQL, MongoDB, Oracle, Apache Hive
Cloud & DevOpsAWS, Azure, Terraform, Docker, Kubernetes, CI/CD (Jenkins, GitHub Actions)
MLXGBoost, Random Forest, scikit-learn, PyTorch, MLflow, Latent Diffusion Models
GenAILLMs, Multi-Agent Systems, RAG, LangChain/LangGraph, FAISS, MCP
BI & VisualizationTableau, Power BI, Looker
ToolsGit, Jupyter, JIRA, Confluence