Induja Rompicherla

Data Architect Senior Data Engineer @Optum

Tampa, FL, US
EMAILS
i••••••••@optum.com
MOBILE NUMBERS
+19•••••••65

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WORK HISTORY

Jun 2022 — Present

Data Architect Senior Data Engineer @Optum

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CA, US

EDUCATION

2010

Texas A&M International University

Master of Science - MS, Management Information Systems, General

2006 — 2010

Jawaharlal Nehru Technological University

Bachelor’s Degree, Information Technology

SKILLS

.net FrameworkXmlTortoise SvnSql Server Integration Services (Ssis)Business IntelligenceAnalysis ServicesExtract, Transform, Load (Etl)SqlQlikviewSql Server Management StudioData Transformation Services (Dts)TableauData WarehousingMysqlSql Server Reporting Services (Ssrs)Asp.net MvcMicrosoft Sql ServerData MigrationSoftware Development Life Cycle (Sdlc)Team Foundation Server (Tfs)Oracle Sql DeveloperData MiningRequirements AnalysisToad 9.0Windows ServerOracle Database

ABOUT INDUJA ROMPICHERLA

At Optum, my role as a Cloud Architect and Senior Data Engineer taps into my proficiency with Azure Cloud architecture,Developed end-to-end Azure-based data pipelines using Azure Data Factory, Data bricks, and Synapse.My tenure at Data Link Software honored my skills in developing and deploying BI solutions using Data Bricks, further solidifying my expertise in translating complex datasets into actionable insights. Collaborating with my team, I\'ve played a pivotal role in optimizing data processes and empowering our organization to leverage analytics for improved performance and outcomes.Overall :As a highly skilled Data Engineer with over 10 years of hands-on experience, I specialize in building scalable, efficient, and automated data pipelines, transforming complex datasets into actionable insights for data-driven decision-making. I have expertise in designing and optimizing data architectures, working with big data technologies like Apache Spark, AWS, Azure, Snowflake, and SQL, and implementing cloud-based solutions for enhanced performance and scalability.Throughout my career, I have led the development of ETL processes, collaborated with cross-functional teams to streamline data workflows, and applied best practices to ensure data quality, security, and integrity. My experience includes using Python, SQL, and DevOps tools like Docker, Kubernetes, and Terraform to automate deployments and ensure the scalability of cloud infrastructure. I have successfully worked with large-scale data projects in industries ranging from government to healthcare, contributing to the creation of efficient data models and systems.I’m passionate about tackling complex data challenges and delivering solutions that drive business outcomes. Looking forward to connecting and exploring opportunities where I can apply my expertise to solve real-world problems in data engineering.

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