Shalini N

Bangalore

As an Azure Data Engineer, I approach complex data challenges with a logical and diligent mindset, committed to mastering robust and scalable solutions. My ambition drives me to continuously refine my craft, ensuring accountability and precision in delivering high-quality, future-proof data architectures.

Open to

Bangalore

Work style

on-site

Identity verified by DigiLockerDegree confirmed by NITTE MEENAKSHI INSTITUTE OF TECHNOLOGY

Contact details — on requestProof of Work — on request

Experience

Azure Data Engineer

VENTAS SOFTECH Pvt Ltd. · Jan 2023 – Present

Not yet confirmed

Designed and developed end-to-end Azure Data Factory pipelines for batch and incremental data ingestion from heterogeneous retail source systems including POS, ERP, CRM, and e-commerce platforms.
Built and optimized PySpark notebooks in Azure Databricks to perform large-scale data transformation, cleansing, deduplication, and enrichment on retail transactional datasets.
Monitored ADF pipeline health using Azure Monitor, configured alerting rules for SLA breach detection, and resolved pipeline failures with root cause analysis and permanent fixes.
Developed Delta Lake tables with ACID transaction support, SCD Type 2 history tracking, and Z-ordering optimization to support retail analytics and regulatory compliance requirements.
Implemented Microsoft Fabric Lakehouse architecture with medallion layers (Bronze, Silver, Gold) to organize and govern retail data assets from raw ingestion to analytics-ready serving.
Maintained comprehensive pipeline documentation, data dictionaries, and runbooks ensuring operational continuity and enabling knowledge transfer across data engineering team members.
Wrote complex SQL queries, stored procedures, and analytical views in Fabric Warehouse and Azure SQL Database to compute retail KPIs for merchandise, supply chain, and finance reporting.

Skills 0 proven through work

Also works with

Revenue RecoveryProactive InitiativeTechnical Training DeliveryCI/CD Pipeline ImplementationQuery WritingPython DevelopmentTechnical TroubleshootingMentoring and Peer CoachingUptime ManagementCost-Saving Initiative ManagementBusiness AcumenReal-Time Systems DesignApplication Performance OptimizationData Architecture DesignData QuarantiningData Partitioning and Segregation DesignError HandlingFault-Tolerant System DesignSLA AdherenceData ValidationData Pipeline ParameterizationData LoadingAzure Data Lake UsageRegulatory Compliance DocumentationTransaction ReconciliationRaw Data Layer DesignData Unification and NormalizationMulti-Project ManagementAPI Performance OptimizationScalable System DesignData Integrity ManagementStreaming Data ProcessingReal-time Data AnalysisObject Storage ManagementSchema Drift ManagementData SortingData OptimizationMedallion Architecture DesignData GovernanceACID PropertiesLead Data EnrichmentTabular Data Cleaning & ValidationLarge Dataset HandlingDatabricks UsageSpark SQLPySparkData TransformationBulk Data ProcessingAzure Data Factory Pipeline DevelopmentDelta Live Tables UsageETL Pipeline DevelopmentData ExtractionData Engineering

Proof of Work

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Education

Bachelor's Degree, BE

NITTE MEENAKSHI INSTITUTE OF TECHNOLOGY · 2019 — 2023

NITTE MEENAKSHI INSTITUTE OF TECHNOLOGYVerified

Contact details

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