Data Engineer Azure

SUPRIYA GIRASE

LinkedIn — Ó 224-***-**** — R ***********@*****.*** — Chicago, IL

CAREER SUMMARY

Data Engineer with 3+ years of experience in Azure Data Factory, Databricks, and Synapse, specializing in ETL pipelines, analytics, and workflow automation while leveraging Agile methodologies for efficient data solutions. PROFESSIONAL EXPERIENCE

Roosevelt University Data Engineer Intern, 2024 - Present

• Designed a data reconciliation framework using Azure Data Factory, Python, and SQL to process visitor data from 100+ campus tours, reducing data discrepancies by 30% and ensuring accurate reporting.

• Developed interactive Tableau and Excel dashboards to analyze visitor demographics, engagement metrics, and tour performance, improving data visibility by 35% and optimizing admissions outreach strategies. Jet2 Travel Technologies Pvt. Ltd. Data Engineer, 2019 - 2022

• Engineered and optimized ETL workflows using Databricks, PySpark, and SQL, enhancing processing efficiency by 40% and accelerating execution time.

• Automated data transformation, synchronization, and integration workflows, reducing manual intervention by 50% and increasing data processing speed by 60%.

• Managed cloud-based data solutions with Azure SQL Server, Synapse, Data Lake Storage, and Data Factory, increasing scalability by 50% and data availability by 45%.

• Orchestrated CI/CD pipelines via Azure DevOps, cutting deployment time by 60%, boosting workflow reliability by 45%, and optimizing production rollouts.

• Architected real-time data architectures and implemented data governance with Azure Key Vault, reducing latency by 35%, enabling 50% faster insights, and ensuring 100% compliance with security policies.

• Enhanced SQL queries and Python-based scripts, boosting system performance by 35%, reliability by 40%, and maintainability by 50%.

Rahitech Solution Data Engineer Internship, 2018 - 2019

• Implemented real-time ingestion and validation workflows, decreasing processing errors by 40% and improving overall data integrity for analytics.

• Executed ETL pipelines in Azure Data Factory, optimizing data processing efficiency by 30% and ensuring seamless data transformations.

SKILLS

Big Data Technologies: PySpark, Apache Spark, Databricks Cloud Platforms & BI Tools Azure Data Factory, Databricks, Azure Synapse Analytics, ML, Tableau, Excel Programming Languages: Python, SQL, R

Storage Solutions: Azure Data Lake Storage (ADLS) Gen2, Azure Blob Storage Automation DevOps: Azure DevOps, Git, CI/CD Pipelines, PowerShell Databases Data Warehousing: SQL Server, Azure SQL Database, MySQL PROJECTS

Conversational Chatbot with Sequence-to-Sequence Models

• Accelerated a multi-turn Chatbot using a Sequence-to-Sequence model with attention, improving contextual re- sponse accuracy by 15%.

• Pre-processed and tokenized large conversational datasets to enhance intent recognition and model performance. Game Management System

• Cataloged and managed a video game collection through an Angular-Spring Boot web application with full CRUD functionality.

• Constructed a modular Game service to interact with RESTful APIs, streamlining game retrieval, updates, and detailed views, optimizing data processing by 30%. EDUCATION

Roosevelt University, Chicago M.S. Computer Science, 2023 - 2024 Pune University, India Bachelor Of Engineering, 2015 - 2019 CERTIFICATION & AWARDS

• Microsoft Certified – Azure Fundamentals (AZ-900) (In Progress)

• APEX Award & ACE Skills Star Award – Jet2TT

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