Anil Kumar Pedavalli

Associate Staff Engineer at Nagarro

Based in Hyderabad, India

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Seniority

Staff

Department

Information Technology

Location

Hyderabad

Industry

IT Services and IT Consulting

Company size

22K

Contact information

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Email

1 credit

a•••••••@nagarro.com

Phone

5 credits

+91 ••• •••• ••••

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Background

About Anil Kumar Pedavalli

As a Senior Data Engineer with over 7.5 years of experience, including 4.5 years specializing in Big Data, ETL development, and cloud technologies, I have a deep passion for transforming raw data into actionable insights. I bring extensive experience in building and optimizing data pipelines, performing data migration, and implementing scalable solutions using tools like Azure Databricks, Azure Data Factory, Hive, Spark, and Informatica Cloud. I am highly skilled in integrating and processing large volumes of data to support business intelligence and analytics initiatives. From developing efficient ETL workflows to supporting data governance and continuous integration/deployment, my goal is to deliver high-performing, reliable, and optimized data systems that drive business success. In my current role at Accenture (Client: Zoetis), I lead the design and implementation of data engineering solutions that transform and integrate customer, sales, and product data into Azure Synapse Analytics. I have contributed to the successful migration to a Lakehouse architecture, leveraging Delta Lake for improved performance and ACID compliance. Throughout my career, I have demonstrated expertise in cloud platforms (primarily Microsoft Azure), big data technologies, and data processing frameworks. I am committed to ensuring data quality, scalability, and efficiency while leveraging the latest technologies to stay ahead in the fast-evolving data landscape. I hold certifications in Azure Data Engineering (DP-203) and Azure Fundamentals (AZ-900) and am continuously striving to expand my knowledge and expertise. Let’s connect if you're interested in discussing data engineering, cloud technologies, or how data can be used to unlock value for your business.

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