Open to opportunities

Surajkumar Halbandge

@surajkumarhalbandge

Message

I build scalable Azure data pipelines that improve healthcare data quality.

India

Message

What I'm looking for

I'm looking to build scalable, high-quality data solutions on Azure, collaborate across product and engineering teams, and use data to deliver strategic business insights.

At FinThrive, I build metadata-driven ETL/ELT pipelines with Azure Data Factory and Azure Databricks to bring healthcare data into a centralized analytics platform. I develop PySpark transformations that cleanse, validate, standardize, and enrich datasets using complex business rules.

I've improved data quality and reporting accuracy through automated profiling, reconciliation, and validation checks, while optimizing Spark workloads with broadcast joins, partitioning, caching, AQE, and file optimization. I collaborate with product owners, business analysts, QA, DevOps, and Data Governance teams to define KPIs, data models, and reliable data solutions.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

FinThrive

Apr 2026 - Present (4 months)

Designed and implemented scalable, metadata-driven ETL/ELT pipelines using Azure Data Factory and Azure Databricks to ingest, transform, and load healthcare data into a centralized analytics platform. Developed optimized PySpark transformations to cleanse, validate, standardize, and enrich healthcare datasets using complex business rules, improving data quality and reporting accuracy.

Azure Data Factory Azure Databricks PySpark ETL ELT Data Modeling PowerShell Azure DevOps CI CD Spark SQL Data Quality Data Governance

Data Engineer

FinThrive

Aug 2023 - Mar 2026 (2 years 7 months)

Built parameterized and reusable ADF pipelines supporting multiple clients and business modules through metadata-driven configurations, enabling faster onboarding and reduced development effort. Automated data orchestration, deployment, and monitoring using PowerShell scripts, custom triggers, and alerts, reducing manual effort and improving operational efficiency.