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Sainavadeep Gadiparthi

@sainavadeepgadiparth

Message

Azure Data Engineer delivering scalable pipelines and governed analytics in Microsoft Azure.

India

Message

What I'm looking for

I’m looking for a role where I can own governed, high-performance Azure data pipelines—covering ETL/ELT, batch and streaming ingestion, data quality, monitoring, and CI/CD—while collaborating with analysts and stakeholders to deliver reliable analytics.

I’m an Azure Data Engineer with 5+ years designing, building, and optimizing scalable data pipelines using Microsoft Azure. I focus on end-to-end data processing—turning structured and unstructured inputs into analytics-ready datasets through ETL/ELT workflows.

My hands-on expertise spans Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage Gen2. I integrate data from APIs, IoT feeds, event-driven services, and on-premises systems into centralized data platforms, with strong SQL/Python skills for transformation, data modelling, and performance tuning.

I also bring a governance-first approach—implementing Azure Key Vault, RBAC, encryption, and data masking—while ensuring data quality and troubleshooting pipeline failures. Across projects for Penske and AT&T, I’ve orchestrated batch and real-time processing, monitored with Azure Monitor and Log Analytics, and automated deployments using Azure DevOps CI/CD.

Experience

Work history, roles, and key accomplishments

Azure Data Engineer

Concentrix Catalyst

Nov 2023 - May 2026 (2 years 6 months)

Designed scalable Azure data pipelines to ingest and process telemetry and network performance data, producing analytics-ready datasets. Built ETL/ELT workflows with Azure Data Factory and Databricks, modeled data in Azure Synapse, implemented security with Key Vault/RBAC and encryption, and automated deployments with Azure DevOps CI/CD while monitoring with Azure Monitor and Log Analytics.