Prudhvi Chandra

About Prudhvi Chandra

I am an experienced Data Engineer with over 7 years of expertise in building scalable data pipelines, optimizing data integration processes, and implementing cutting-edge cloud and big data solutions. With a strong foundation in AWS and Azure cloud platforms, I am passionate about leveraging the power of data to solve complex business challenges and drive data-driven decision-making. Throughout my career, I\'ve worked across a variety of industries, developing and optimizing ETL processes, integrating data from diverse sources, and applying advanced analytics. My technical toolkit includes Apache Spark, SQL, Python, Scala, and Snowflake, among others, and I am always eager to explore new technologies that push the boundaries of what\'s possible in data engineering. Some of the key areas I\'ve contributed to include: Cloud Data Engineering: Architecting and implementing data pipelines using AWS services like EMR, S3, Glue, and Lambda and Azure Data Factory and DataBricks. Big Data & Real-Time Processing: Extensive experience with Apache Kafka, Spark Streaming, and Hadoop for processing large-scale data in real-time and batch modes. ETL Pipelines & Data Warehousing: Expertise in developing efficient ETL pipelines using Python, Spark SQL, and SnowSQL, migrating data across platforms, and ensuring high data quality through transformations and validation.

Experience

1. Sr Azure Data Engineer

   AT&T

   Feb 2022 — Present · Dallas, TX, US

   As a Sr Azure Data Engineer at AT & T, I specialize in developing and optimizing data pipelines, managing large datasets, and integrating data across multiple platforms. My key responsibilities include:Designing and implementing end-to-end ETL/ELT data pipelines using Azure Data Factory, Snowflake, and Spark.Ensuring data quality through data cleaning, transformation, and validation while working closely with stakeholders and solution architects.Building and maintaining cloud-based data solutions using Azure Functions, Azure Databricks, and PowerShell for seamless data integration.Writing complex SQL queries and stored procedures to optimize data fetching, enhance database performance, and ensure data integrity.Implementing data migration from RDBMS to NoSQL databases and leveraging Kafka for real-time data streaming.Developing custom solutions using Python, Spark SQL, and SnowSQL to process and transform data for business insights.Collaborating on the integration of Dynamics 365 with Azure Active Directory and supporting data visualization with Tableau and Power BI.Managing data security and access controls in Power BI, including the implementation of Row-Level Security.Leading Agile projects, coordinating with cross-functional teams, and ensuring efficient data-driven decision-making.I thrive in dynamic environments, leveraging cutting-edge technologies to optimize processes and solve complex business problems with data-driven solutions.

Education

• Lamar University

  Masters

  2022 — 2023