It Systems Azure Cloud

Hari Krishna Kuntamukkala

Email: ***********************@*****.***

Phone: +1-260-***-****

LinkedIn: linkedin.com/in/hari-krishna-kuntamukkala-62601b299/

Professional Summary

Results-driven IT professional with a strong foundation in computer science and hands-on experience in Azure cloud services and DevOps practices. Proven ability to design and implement efficient data pipelines, automate deployment processes, and collaborate effectively with cross-functional teams. Currently pursuing a Master’s in IT Systems to further enhance technical expertise and leadership skills.

Education

Master of Science in IT Systems

Indiana Institute of Technology, Fort Wayne, IN Expected Graduation: August 2025

Relevant Coursework: Cybersecurity, Networking, Database Management

Bachelor of Technology in Computer Science

Jawaharlal Nehru Technological University (JNTU) Kakinada, India Graduated: May 2023

Key Projects: Developed software solutions enhancing data processing efficiency by 25%

Professional Experience

Azure DataEngineer

Cvs Health, Rhode Island Jul 2023 – Dec 2024

Responsibilities:

Developed and maintained ETL pipelines using Informatica and SQL to extract, transform, and load data from various sources.

Migrated enterprise data warehouse from on-premise to Azure Cloud, ensuring improved scalability and performance.

Built complex Azure Data Factory (ADF) pipelines integrating data from Azure SQL DB, Blob Storage, and Synapse Analytics.

Implemented Azure Databricks for big data processing, including setting up clusters, notebooks, jobs, and auto-scaling configurations.

Designed and enforced data security strategies, including data masking, auditing, and encryption for secure data handling.

Conducted system integration, functional, and regression testing, and created comprehensive ETL test plans and scenarios.

Collaborated with analytics and business teams to gather requirements and deliver insights using Power BI dashboards and reports.

Created and optimized Snowflake schemas and both relational and non-relational data models in the cloud environment.

Monitored end-to-end data workflows using Azure Monitor, ensuring high availability and reliability of data processes.

Participated in code reviews, requirement analysis, and knowledge transfer sessions, contributing to project planning and delivery.

Environment: SQL Database, Azure data factory, Azure data lake storage, Azure synapse analytics, Azure synapse workspace, Synapse sql pool, Power BI, Python

Technical Skills

Programming Languages: Python, C, SQL, Visual Basic

Cloud Platforms: Microsoft Azure

Data Engineering: Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Spark-SQL, PySpark, Data Frames, SSIS

DevOps Tools: Azure DevOps, Terraform, Git

Data Visualization: Power BI

Databases: MS Access, MySQL, Azure SQL, T-SQL

Certifications

Microsoft Certified: Azure Data Engineer Associate

Microsoft Certified: Azure Fundamentals

Languages

English (Fluent)

Telugu (Native)

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