Databrickscentric FullStack Consultant

Design and implement Databricks Lakehouse / Lakebase platforms using Medallion Architecture, Unity catalog

Build and deploy Databricks Apps with Python based backends

Develop end-to-end data pipelines (batch & streaming) on Azure Databricks

Build fullstack applications using Python, Django, Flask, and Streamlit

Deploy Python services and applications using Kubernetes

Implement Streamlit based UIs for internal enterprise workflows

Design and implement Bumbazed workflows within Django applications

Integrate platforms with Collibra for governance, lineage, and certification

Ensure enterprise grade security, auditability, and regulatory compliance

Advanced Python development

Backend frameworks: Django, Flask

UI development using Streamlit

Development of data driven enterprise applications on Databricks

DevOps & Deployment

Deploying Python applications on Kubernetes, Azure functions

Git Hub CI/CD for Databricks and application workloads

Secure integration with Azure identity and access controls

Workflow & Governance

BPMN based workflow design and execution using Django

Data governance, lineage, and certification using Collibra

Strong understanding of banking regulatory controls and audit requirements

Experience Profile

15+ years of experience

Mandatory banking / financial services background

Prior work supporting Risk, Finance, Compliance, or Regulatory Reporting platforms

Experience working in highly regulated enterprise environments

Certifications (Mandatory)

Databricks Certification

Azure Certification