Mounika T.
Azure Data Engineer @Holiday Inn Club Vacations
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WORK HISTORY
Azure Data Engineer @Holiday Inn Club Vacations
FL, US
Architected hybrid data workflows using Azure Data Factory, Databricks, and SQL-based platforms to modernize legacy pipelines and unify cloud/on-prem data ecosystems.Ingested structured and semi-structured data from SharePoint, FTP/SFTP, Salesforce, CallMiner, Medallia, and Sprout Social APIs into Azure SQL, Synapse, and Delta Lake.Built secure, parameterized pipelines in Azure Data Factory with Linked Services and Key Vault integration, enabling scalable, credential-safe data movement.Leveraged Azure Databricks notebooks and PySpark for high-volume data cleansing, enrichment, and transformation, integrating with ADF for seamless orchestration.Refactored SSIS packages with modular T-SQL logic, support tables, and stored procedures; automated execution via JAMS scheduler for reliability and traceability.Re-architected the Night Audit legacy application into a cloud-native automated solution, improving scalability, reducing manual effort, and aligning with enterprise modernization goals.Enhanced enterprise data warehouse models and delivered interactive Power BI dashboards for Finance, enabling real-time insights and KPI-driven decision-making.Led GitHub-based branching, code reviews, and CI practices; mentored offshore teams to uphold coding standards, resolve production issues, and ensure delivery quality.
EDUCATION
Jawaharlal Nehru Technological University
Bachelor of Technology - BTech, Computer Science
ABOUT MOUNIKA T.
Experienced Microsoft Stack & Azure Data Engineer / Data Analyst with extensive experience in banking, healthcare, and hospitality domains. Skilled in building end-to-end data solutions, from ingestion and transformation to visualization and reporting, leveraging both cloud and on-premises technologies.Key Skills & Expertise:• Data Integration & ETL/ELT: Azure Data Factory (ADF), SSIS, SQL Server, Data Lake, Delta Lake, Databricks, API Integration, Copilot• Analytics & BI: Power BI, Power Apps, SSRS, Notebooks, Real-time and batch reporting• Programming & Big Data: Spark, Python, SQL, Kafka (streaming data), API Integration• Data Management & Warehousing: Databases, Data Warehousing, Master Data Management (MDM)Cloud & Platform Expertise: Azure Synapse Analytics, Logic Apps, scalable cloud-native data pipelinesResponsibilities & Achievements:• Design, develop, and optimize ETL/ELT pipelines for structured and unstructured data sources.• Build dashboards, reports, and insights using Power BI to support strategic and operational decision-making.• Integrate APIs and automate data workflows to enable seamless data exchange across platforms.• Implement data governance, MDM, and best practices to maintain high-quality, reliable data.• Leverage AI tools like Copilot to accelerate analytics and reporting tasks.
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