VISHAL RANE

Data Engineer

Bengaluru, Karnataka, India2 yrs 2 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Reduced cloud costs by 36% through optimization.
Automated data workflows for real-time tracking.
Developed 15+ enterprise-grade Power BI dashboards.

Stackforce AI infers this person is a Data Engineer specializing in SaaS solutions with a focus on BI and cloud optimization.

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Skills

Core Skills

Data EngineeringBusiness IntelligenceCloud Cost Optimization

Other Skills

Azure Data FactoryAzure SynapseIBM DataStageETL Pipeline DevelopmentPower BIDAXAzureCost OptimizationSQLData OrchestrationData ModelingAlteryxMicrosoft AzureDaily ReportsPivot Tables

About

Data Engineer at Flipkart specializing in building robust, scalable data architectures and end-to-end BI solutions within the Azure ecosystem. I focus on transforming complex data into actionable business intelligence that drives real-time decision-making. At Flipkart, I have successfully reduced cloud infrastructure costs by 36% and automated data workflows to enable real-time performance tracking for over 200 field agents. I am passionate about bridging the gap between technical data engineering and strategic business goals. Core Technical Stack: Cloud & Engineering: Azure Data Factory (ADF), Azure Synapse, IBM DataStage, SQL Server. Analytics & Visualization: Power BI (DAX, Power Query), Tableau, Excel. Languages: SQL, Python. Specialties: ETL Pipeline Development, Cloud Cost Optimization, and Interactive Dashboard Design.

Experience

2 yrs 2 mos

Total Experience

2 yrs 2 mos

Average Tenure

2 yrs 2 mos

Current Experience

Walmart

Data Engineer 1

Mar 2024 – Present · 2 yrs 2 mos · Bengaluru · On-site

End-to-End Data Orchestration: Orchestrated complex ETL/ELT workflows to ingest data from diverse sources into Azure Synapse using Azure Data Factory (ADF) and IBM DataStage.
Infrastructure & Cost Optimization: Engineered a 36% reduction in Azure cloud expenditure by decommissioning underutilized resources and implementing automated scaling scripts for SQL pools to align with peak demand.
High-Frequency Data Delivery: Revamped legacy batch processing by implementing automated hourly data refreshes, significantly reducing data latency and enabling 200+ field agents to perform real-time sales tracking.
Full-Stack BI Development: Developed and deployed 15+ enterprise-grade Power BI dashboards featuring complex DAX measures, Row-Level Security (RLS), and optimized data models for high-performance reporting.
Technical Stakeholder Management: Partnered with cross-functional analytics and business teams to translate high-level requirements into scalable technical architectures, ensuring 100% data accuracy and actionable business insights.

Azure Data FactoryAzure SynapseIBM DataStageETL Pipeline DevelopmentCloud Cost OptimizationPower BI+3