MALAVIKA P - Azure Data Engineer | Cloud Data & ETL Specialist - Tata Consultancy Services (TCS)

Summary

Azure Data Engineer with 4+ years of experience designing scalable cloud-based data solutions using Azure Data Factory, Azure SQL, SSIS, Azure Databricks, and Power BI. Experienced in building ETL/ELT pipelines, implementing CI/CD workflows, optimizing SQL performance, and managing enterprise data platforms. Strong expertise in Azure Monitoring, Data Validation, Data Modeling, and incident management using ServiceNow.

Overview

4

years of professional experience

1

Certification

Work History

Systems Engineer – Cloud & Data Operations

Tata Consultancy Services (TCS)

12.2021 - Current

Designed scalable Azure Data Factory (ADF) pipelines to automate enterprise ETL/ELT workflows.
Implemented CI/CD deployment strategies for ADF pipelines using Azure DevOps.
Worked with Azure Data Lake to manage structured and semi-structured datasets.
Optimized complex SQL queries, reducing execution time by up to 30%.
Orchestrated SSIS-based ETL processes, populating SSAS cubes for business intelligence reporting.
Managed and optimized Databricks clusters for high-performance, large-scale analytics.
Applied data validation frameworks and error-handling mechanisms to improve pipeline reliability.
Ensured 0% dashboard refresh failures through proactive Azure monitoring.
Achieved 98% resolution efficiency using ServiceNow for enterprise incident management.
Reduced recurring system incidents by 50% through root cause analysis and preventive measures.
Collaborated with cross-functional teams to define and improve cloud data architecture standards.

Education

Master of Computer Applications (MCA) - Computer Science

KMCT College of Engineering

Kozhikode, India

08-2021

BSc - Computer Science

Providence Women’s College

Kozhikode, India

03-2019

Skills

Cloud & Data Platforms: Azure Data Factory (ADF), Azure SQL Database, Azure Data Lake, Azure Synapse Analytics, Databricks, SSIS, SSRS, SSAS, Power BI

Programming: SQL, Python

Data Engineering: ETL/ELT Pipelines, Data Modeling, Data Warehousing, Data Architecture, Data Validation, Performance Tuning

DevOps & Tools: Azure DevOps, CI/CD Pipelines, Git, REST APIs, ServiceNow, Agile, SharePoint

Monitoring & Governance: Azure Monitor, SLA/KPI Management, Data Security & Governance Basics

Accomplishments

Improved operational efficiency by 25% through advanced SQL reporting solutions.
Maintained 100% ETL workflow accuracy across multiple enterprise projects.
Ensured zero dashboard refresh failures for six consecutive months.
Enhanced pipeline performance and reduced production incidents significantly.