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Santoshkumar Kumbar

@santoshkumarkumbar

I build automated cloud infrastructure and CI/CD pipelines for reliable, production-grade data platforms.

India
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What I'm looking for

I'm looking to build and automate reliable cloud infrastructure, CI/CD pipelines, and data platforms, with opportunities to improve deployment speed, observability, security, and production reliability.

I've delivered cloud-native CI/CD and data-platform solutions for LSEG and Ernst & Young, automating deployments, infrastructure provisioning, monitoring, and incident response across production environments.

At LSEG, I built Jenkins and GitHub Actions pipelines for financial index ingestion and reporting, eliminating manual deployments and supporting a 99%+ uptime SLA. I also implemented Terraform and Ansible-based environments, CloudWatch alerting, Snowflake validation and rollback workflows, and event-driven triggers that reduced ingestion latency by approximately 60%.

At EY, I led zero-downtime migrations from on-premise SQL Server to Azure SQL DB and AWS RDS for platforms serving 500+ analysts. I built environment-agnostic deployment workflows, strengthened IAM and RBAC governance, and created data-quality monitoring for pipeline failures and SLA breaches.

Earlier, I developed SQL Server warehouse and SSIS ETL pipelines for Marks & Spencer and Alcon Pharmaceuticals, later supporting Snowflake and Snowpipe-based analytics. I work across AWS, Azure, Terraform, Ansible, Docker, Jenkins, GitHub Actions, Python, Bash, and Kubernetes.

Experience

Work history, roles, and key accomplishments

SL

BI Developer

SHDMS Limited

Aug 2015 - Feb 2020 (4 years 6 months)

Designed and maintained SQL Server Data Warehouse and SSIS ETL pipelines for pharmaceutical sales data. Migrated reporting to Snowflake with Snowpipe and ELT pipelines, improving query performance and enabling cloud-native analytics.

Education

Degrees, certifications, and relevant coursework

Visvesvaraya Technological University logoVU

Visvesvaraya Technological University

Master of Computer Applications, Computer Applications

2010 - 2013

Grade: 73%

Pursued Master of Computer Applications with a focus on computer science and applications.

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